The A.I Megathread (LLM , GPT , Development)

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1/20
@itinaicom
Unlocking the future of cardiology with ZODIAC! This innovative system harnesses LLMs to enhance diagnostics, achieving professional standards while ensuring precision and reliability. Discover how we're bridging AI and healthcare for superior patient ou… ZODIAC: Bridging LLMs and Cardiological Diagnostics for Enhanced Clinical Precision

2/20
@itinaicom
Exciting news! Anthropic AI has launched the Message Batches API, allowing developers to submit up to 10,000 queries at once for asynchronous processing. Enjoy a 50% cost reduction and high throughput for large datasets. Perfect for tasks like content… Anthropic AI Introduces the Message Batches API: A Powerful and Cost-Effective Way to Process Large Volumes of Queries Asynchronously

3/20
@itinaicom
Unlock the potential of multimodal models for time-series analysis! Recent research shows that visual representations can enhance insights and cut costs by reducing token usage by up to 90%. This method significantly improves performance in real-world sc… Enhancing Time-Series Analysis in Multimodal Models through Visual Representations for Richer Insights and Cost Efficiency

4/20
@itinaicom
Unlocking the potential of Large Language Models (LLMs) requires understanding their mechanics. New research models LLMs as Markov chains, enhancing performance in sequence generation and prediction. This approach opens doors for transformative applicati… This Machine Learning Unveils How Large Language Models LLMs Operate as Markov Chains to Unlock Their Hidden Potential

5/20
@itinaicom
Introducing Agent Prune: a cutting-edge multi-agent communication framework that boosts efficiency while reducing costs! By eliminating redundancy and filtering harmful messages, it ensures seamless collaboration among LLMs. Learn more about this inno… Agent Prune: A Robust and Economic Multi-Agent Communication Framework for LLMs that Saves Cost and Removes Redundant and Malicious Contents

6/20
@itinaicom
Enhancing text retrieval is essential for effective AI solutions. Traditional methods fall short in understanding context, but new models from Cornell University address these limitations with contextual document embeddings. Discover how challenging batc… Enhancing Text Retrieval: Overcoming the Limitations with Contextual Document Embeddings

7/20
@itinaicom
Exciting news! The 2024 Nobel Prize in Physics honors John J. Hopfield and Geoffrey E. Hinton for their groundbreaking work in artificial intelligence and neural networks, merging physics with computation. Their innovations are reshaping the future of… Machine Learning Meets Physics: The 2024 Nobel Prize Story

8/20
@itinaicom
Exciting news! LLM360 Group announces TxT360, a groundbreaking pre-training dataset with 15 trillion tokens! This diverse and meticulously filtered dataset sets a new standard for open-source AI, ensuring high-quality language models. Discover more at… LLM360 Group Introduces TxT360: A Top-Quality LLM Pre-Training Dataset with 15T Tokens

9/20
@itinaicom
Unlock the potential of your content with Podcastfy AI! This open-source Python package transforms web articles, PDFs, and more into engaging, multi-lingual audio conversations. Elevate your audio experience—perfect for businesses and educators alike. Ex… Podcastfy AI: An Open-Source Python Package that Transforms Web Content, PDFs, and Text into Engaging, Multi-Lingual Audio Conversations Using GenAI

10/20
@itinaicom
Introducing SEAL: a groundbreaking Dual-Encoder Framework for Hierarchical Imitation Learning! Leveraging LLMs, SEAL enhances decision-making by creating meaningful sub-goals without prior task knowledge. Outperforming existing methods, it’s a game-chang… SEAL: A Dual-Encoder Framework Enhancing Hierarchical Imitation Learning with LLM-Guided Sub-Goal Representations

11/20
@itinaicom
Introducing Hex-LLM: a cutting-edge framework for serving open LLMs efficiently on Google Cloud TPUs. Experience high performance, cost-effectiveness, and scalability, all while simplifying deployment via integration with the Hugging Face Hub. Unleash th… Hex-LLM: A New LLM Serving Framework Designed for Efficiently Serving Open LLMs on Google Cloud TPUs

12/20
@itinaicom
Evaluating the planning capabilities of OpenAI’s o1 model reveals insights into feasibility, optimality, and generalization. While it excels in structured tasks, challenges remain in memory management and adapting to complex scenarios. Research shows cle… Evaluating the Planning Capabilities of Large Language Models: Feasibility, Optimality, and Generalizability in OpenAI’s o1 Model

13/20
@itinaicom
Exciting News! Researchers at Stanford University have introduced Tutor CoPilot, a Human-AI Collaborative System that significantly improves real-time tutoring quality for students. Integrating AI tools in education can enhance teaching and learning e… Researchers at Stanford University Introduce Tutor CoPilot: A Human-AI Collaborative System that Significantly Improves Real-Time Tutoring Quality for Students

14/20
@itinaicom
Understanding the Practical Solutions and Value of Analyzing AI Systems - From Prediction to Reasoning: Evaluating o1’s Impact on LLM Probabilistic Biases. Researchers are delving into ways to assess the strengths and weaknesses of AI systems, especia… From Prediction to Reasoning: Evaluating o1’s Impact on LLM Probabilistic Biases

15/20
@itinaicom
Exciting news! Introducing LLaVA-Critic: an open-source Large Multimodal Model designed to assess performance across diverse tasks. If you're keen on AI evaluation, this is a must-know! Learn more at the Paper and Project linked above. /search?q=#AI /search?q=#LLaVA… LLaVA-Critic: An Open-Source Large Multimodal Model Designed to Assess Model Performance Across Diverse Multimodal Tasks

16/20
@itinaicom
" Exciting News Alert! Discover @GoogleAI's revolutionary approach to improving the efficiency of Transformer Models through Selective Attention. Learn how this novel AI technique is set to transform natural language processing. /search?q=#GoogleAI /search?q=#Selective… This AI Paper from Google Introduces Selective Attention: A Novel AI Approach to Improving the Efficiency of Transformer Models

17/20
@itinaicom
Exciting news for AI enthusiasts! Introducing CodePMP: A Scalable Preference Model Pre-training for Supercharging Large Language Model Reasoning. Dive into the next-level practical AI solutions for enhancing reasoning abilities of LLMs across diverse … CodePMP: A Scalable Preference Model Pre-training for Supercharging Large Language Model Reasoning

18/20
@itinaicom
Exciting news! Apple AI has released Depth Pro, a groundbreaking foundation model for zero-shot metric monocular depth estimation. This AI technology revolutionizes 3D vision, offering high-resolution depth maps in a fraction of a second. /search?q=#App… Apple AI Releases Depth Pro: A Foundation Model for Zero-Shot Metric Monocular Depth Estimation

19/20
@itinaicom
Exciting news! EuroLLM-1.7B and EuroLLM-1.7B-Instruct are here, revolutionizing multilingual text understanding and generation across official EU languages and beyond! Learn how this innovative project is shaping the future of language models. /search?q=#EuroLL… EuroLLM Released: A Suite of Open-Weight Multilingual Language Models (EuroLLM-1.7B and EuroLLM-1.7B-Instruct) Capable of Understanding and Generating Text in All Official European Union languages

20/20
@itinaicom
Introducing GraphIC: A cutting-edge machine learning approach that leverages graph-based representations and Bayesian Networks to select In-Context Examples (/search?q=#ICE). Learn how this innovative method is reshaping reasoning processes and enhancing /search?q=#AI pe… GraphIC: A Novel Machine Learning Approach that Leverages Graph-based Representations of Reasoning Processes Coupled with Bayesian Networks (BNs) to Select In-Context Examples (ICE)

 

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1/20
@itinaicom
Excited to share the latest in speech and audio processing! /search?q=#SpeechBrain is a PyTorch-based toolkit offering practical AI solutions for tasks like speech recognition and synthesis. Featuring efficient tensor operations, GPU acceleration, and support for … SpeechBrain: A PyTorch-based Speech Toolkit

2/20
@itinaicom
Exciting News! NVIDIA AI has released OpenMathInstruct-2: a Math Instruction Tuning Dataset with 14M Problem-Solution Pairs generated using the Llama3.1-405B-Instruct model. Explore the practical solutions and value of AI in mathematical reasoning. Enhan… NVIDIA AI Releases OpenMathInstruct-2: A Math Instruction Tuning Dataset with 14M Problem-Solution Pairs Generated Using the Llama3.1-405B-Instruct Model

3/20
@itinaicom
Exciting News: "From Fixed to Random Designs: Unveiling the Hidden Factor Behind Modern Machine Learning ML Phenomena." Explore the practical solutions & value, tips for AI solution implementation, and grab the list of useful AI links here. /search?q=#MachineLe… From Fixed to Random Designs: Unveiling the Hidden Factor Behind Modern Machine Learning ML Phenomena

4/20
@itinaicom
Revisiting Recurrent Neural Networks RNNs: Check out the latest on creating efficient parallel training with Minimal LSTMs and GRUs! Enhance sequence modeling efficiency and transform sequences with practical solutions. /search?q=#AI /search?q=#NeuralNetworks /search?q=#LSTM /search?q=#GRU … Revisiting Recurrent Neural Networks RNNs: Minimal LSTMs and GRUs for Efficient Parallel Training

5/20
@itinaicom
Exciting news! NVIDIA AI introduces FACTS: A Comprehensive Framework for Enterprise RAG-Based Chatbots. Addressing chatbot challenges, the FACTS framework focuses on Freshness, Architecture, Cost, Testing, and Security. Learn more at AI Lab in Telegram @… NVIDIA AI Introduces FACTS: A Comprehensive Framework for Enterprise RAG-Based Chatbots

6/20
@itinaicom
"Unlock the potential of dense geometry prediction with Lotus, a cutting-edge diffusion-based visual foundation model. From robotics to augmented reality, Lotus offers practical and flexible solutions for diverse computer vision tasks. Explore the future… Lotus: A Diffusion-based Visual Foundation Model for Dense Geometry Prediction

7/20
@itinaicom
New Research Alert! Exploring In-Context Reinforcement Learning in LLMs with Sparse Autoencoders - Key highlights, value proposition, and practical applications of this groundbreaking study. /search?q=#AI /search?q=#ReinforcementLearning /search?q=#LLMs /search?q=#Research /search?q=#SparseAutoe… Exploring In-Context Reinforcement Learning in LLMs with Sparse Autoencoders

8/20
@itinaicom
"Introducing LOONG - The cutting-edge Autoregressive LLM-based Video Generator! Revolutionizing the field of Video Generation with its ability to create minute-long videos. /search?q=#AI /search?q=#VideoGeneration /search?q=#LOONG /search?q=#Technology /search?q=#Innovation"
LOONG: A New Autoregressive LLM-based Video Generator That can Generate Minute-Long Videos

9/20
@itinaicom
Exciting new AI paper unveils the potential of Generative Unified Diffusion (GUD) framework! Learn how the merger of diffusion and autoregressive models addresses flexibility, efficiency, and data representation challenges. The GUD framework offers im… What Happens When Diffusion and Autoregressive Models Merge? This AI Paper Unveils Generation with Unified Diffusion

10/20
@itinaicom
Exciting news for AI development in EU languages! Introducing MOSLE: a groundbreaking open-source speech dataset with 950,000+ hours of data across 24 languages. Addressing biases and enhancing AI models. /search?q=#AI /search?q=#MOSLE /search?q=#AITraining /search?q=#EUlanguages Check out … MOSEL: Collection of Open Source Speech Data for Speech Foundation Model Training on EU Languages

11/20
@itinaicom
"Transforming healthcare with AI & IoMT is revolutionizing disease prediction and management. Learn about practical solutions and challenges in healthcare AI, and the future directions shaping personalized care and real-time monitoring. /search?q=#HealthTech /search?q=#AIHe… Transforming Healthcare with AI and IoMT: Innovations, Challenges, and Future Directions in Predicting and Managing Chronic and Terminal Diseases

12/20
@itinaicom
Unlock the potential of AI with ChatGPT for Recruiters! Discover 15 practical use cases, from crafting engaging job descriptions to talent pool management. Leverage AI to streamline processes, enhance candidate experiences, and make informed decisions… 15 Use Cases of ChatGPT for Recruiters

13/20
@itinaicom
Exciting news for AI enthusiasts! Vinoground Benchmark is pushing the boundaries of Large Language Models in understanding short videos. It's a game-changer for AI development! Find out how your company can benefit. /search?q=#Vinoground /search?q=#AI /search?q=#MachineLearning /search?q=#D… Vinoground: A Temporal Counterfactual Large Multimodal Models LMM Evaluation Benchmark Encompassing 1000 Short and Natural Video-Caption Pairs

14/20
@itinaicom
Learn how Reinforcement Learning with Execution Feedback (RLEF) is revolutionizing code synthesis for Large Language Models. Discover the practical solutions and value offered in the latest AI breakthrough. Increased performance and efficiency - a gam… RLEF: A Reinforcement Learning Approach to Leveraging Execution Feedback in Code Synthesis

15/20
@itinaicom
" Exciting news! @Rev revolutionizes speech technology with open weight speech transcription and diarization models, surpassing current SoTA. Enhancing speech interpretation for media, legal, and customer service applications. Read more: [Link] /search?q=#AI … Rev Releases Reverb AI Models: Open Weight Speech Transcription and Diarization Model Beating the Current SoTA Models

16/20
@itinaicom
Introducing /search?q=#FakeShield: An Explainable AI Framework for Universal Image Forgery Detection and Localization! Enhancing the detection and localization of tampered content using Multimodal Large Language Models and advanced modules like DTE-FDM and MFLM… FakeShield: An Explainable AI Framework for Universal Image Forgery Detection and Localization Using Multimodal Large Language Models

17/20
@itinaicom
"Unlock the power of Role-RL in Long-Context Processing! Our latest framework streamlines large language model deployment, boosting efficiency and cutting costs. Achieve 93.2% recall rate and 79.4% cost reduction. Learn more about our practical solutions… Optimizing Long-Context Processing with Role-RL: A Reinforcement Learning Framework for Efficient Large Language Model Deployment

18/20
@itinaicom
Exploring Compositional Hardness in Large Language Models (LLMs): A Probabilistic Approach to Code Generation

Practical Solutions and Value of Using Multi-Agent Systems for LLMs
Context Window Limitations
Subtask Decomposition
Generatio… Compositional Hardness in Large Language Models (LLMs): A Probabilistic Approach to Code Generation

19/20
@itinaicom
New AI Benchmark Alert! Introducing Compositional GSM: a game-changing method for evaluating Large Language Models' reasoning abilities in multi-step problems. Dive into this innovative approach with practical insights on AI reasoning capabilities.… Compositional GSM: A New AI Benchmark for Evaluating Large Language Models’ Reasoning Capabilities in Multi-Step Problems

20/20
@itinaicom
Embracing AI in Causal Inference: Leveraging Large Language Models (LLMs) to Revolutionize Instrumental Variable Selection. Discover practical solutions and the value of AI in enhancing research efficiency. /search?q=#CausalInference /search?q=#AI /search?q=#LLMs /search?q=#InstrumentalVari… AI-Assisted Causal Inference: Using LLMs to Revolutionize Instrumental Variable Selection

 

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1/20
@itinaicom
Excited to share the 15 transformative use cases of ChatGPT for banks, providing practical solutions and value in banking. From customer service and virtual assistance to predictive analysis for business insights, ChatGPT is revolutionizing the bankin… 15 Transformative Use Cases of ChatGPT for Banks

2/20
@itinaicom
Exciting News! Google has released Gemma-2-JPN, a powerful 2B AI model fine-tuned for Japanese text processing. From language learning to content creation, its applications are diverse. Learn more about Google’s latest innovation and discover practica… Google Releases Gemma-2-JPN: A 2B AI Model Fine-Tuned on Japanese Text

3/20
@itinaicom
Exciting news! Introducing FACTALIGN, a revolutionary AI framework enhancing factual accuracy and helpfulness of LLMs' long-form responses. It boosts factuality without compromising usefulness, addressing challenges like hallucination and non-factual … FactAlign: A Novel Alignment AI Framework Designed to Enhance the Factuality of LLMs’ Long-Form Responses While Maintaining Their Helpfulness

4/20
@itinaicom
Excited to share the impressive capabilities of OpenAI's ChatGPT Canvas! From revolutionizing coding with intelligent suggestions to analyzing stock data, the potential is immense. Explore the AI-powered workspace for creativity and productivity. /search?q=#AI /search?q=#Ch… OpenAI’s ChatGPT Canvas Tutorial and Use Cases: Coding Customization and Visualizing Tesla Stock Data

5/20
@itinaicom
Exciting News! @MetaAI unveils /search?q=#MovieGen – a groundbreaking series of AI models revolutionizing media generation. From high-res video creation to versatile audio context handling, MovieGen sets a new standard in automated content creation. Learn mo… Meta AI Unveils MovieGen: A Series of New Advanced Media Foundation AI Models

6/20
@itinaicom
Exciting News! Introducing EMOVA: A Novel Omni-Modal LLM for Seamless Integration of Vision, Language, and Speech. Unlock the practical solutions and value it brings to AI capabilities. /search?q=#EMOVA /search?q=#AI /search?q=#LanguageModel /search?q=#Vision /search?q=#Speech /search?q=#ArtificialIntell… EMOVA: A Novel Omni-Modal LLM for Seamless Integration of Vision, Language, and Speech

7/20
@itinaicom
Exciting news! Zyphra has unveiled the Zamba2 Language Models - a game-changer in AI technology. Discover the prowess of Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct that outperform Gemma2-2B-Instruct in speed and performance. /search?q=#Zyphra /search?q=#AI /search?q=#ZambaSerie… Zyphra Releases Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct: A New State-of-the-Art Small Language Model Series that Outperforms Gemma2-2B-Instruct

8/20
@itinaicom
Introducing MinerU: the open-source PDF data extraction tool! Tired of wrestling with unstructured data in PDFs? MinerU is here to streamline the process with NLP and ML techniques. Enhance accuracy, readability, and more! Future prospects are prom… MinerU: An Open-Source PDF Data Extraction Tool

9/20
@itinaicom
Introducing GemFilter: A game-changing AI approach to accelerate LLM inference and cut down GPU memory consumption for long context inputs. Discover practical solutions to optimize Large Language Models (LLMs) and overcome challenges in speed and reso… GemFilter: A Novel AI Approach to Accelerate LLM Inference and Reduce Memory Consumption for Long Context Inputs

10/20
@itinaicom
Introducing XR-Objects: an open-source AR prototype taking the world by storm! Seamlessly merging physical and digital realms, this innovation is set to revolutionize user experiences. /search?q=#AR /search?q=#XRObjects /search?q=#AugmentedReality /search?q=#Innovation /search?q=#TechTrends
XR-Objects: A New Open-Source Augmented Reality Prototype that Transforms Physical Objects into Interactive Digital Portals Using Real-Time Object Segmentation and Multimodal Large Language Models

11/20
@itinaicom
Revolutionizing Radiology with AI: Introducing a2z-1 Enhance quality assurance in abdominal-pelvis CT scans with a2z-1, a ground-breaking AI tool from a2z Radiology AI. Detect 21 conditions simultaneously, improving accuracy and efficiency. Learn m… a2z Radiology AI Introduces a2z-1: An AI that Analyzes Abdominal-Pelvis CT Scans and Reports to Catch Potential Misses Across 21 Conditions

12/20
@itinaicom
Excited to introduce LASER: An Adaptive Method for Selecting Reward Models (RMs) and Iteratively Training LLMs Using Multiple Reward Models (RMs). Discover the practical solutions and value of LASER in AI model training, optimizing efficiency and accu… LASER: An Adaptive Method for Selecting Reward Models RMs and Iteratively Training LLMs Using Multiple Reward Models RMs

13/20
@itinaicom
Exciting News Alert! Introducing FaithEval, a cutting-edge AI benchmark dedicated to evaluating contextual faithfulness in large language models (LLMs). Discover the value, highlights, and key recommendations for leveraging this advanced benchmark. /search?q=#F… FaithEval: A New and Comprehensive AI Benchmark Dedicated to Evaluating Contextual Faithfulness in LLMs Across Three Diverse Tasks- Unanswerable, Inconsistent, and Counterfactual Contexts

14/20
@itinaicom
Exciting news from Black Forest Labs! Introducing FLUX1.1 [pro] and the BFL API – the perfect combo for creative pros seeking high-performance image generation and seamless API integration. With faster generation times, advanced customization, and com… Black Forest Labs Unveiled FLUX1.1 [pro] and the BFL API: The Ultimate Solution for Creative Professionals Seeking High-Performance Image Generation and Scalable API Integration

15/20
@itinaicom
Exciting news! Apple AI Research introduces MM1.5, a new family of highly performant Generalist Multimodal Large Language Models (MLLMs) that combine text, images, and video for comprehensive data interpretation. Revolutionizing AI with scalable param… Apple AI Research Introduces MM1.5: A New Family of Highly Performant Generalist Multimodal Large Language Models (MLLMs)

16/20
@itinaicom
New Study Alert! The Impact of AI Chatbots on False Memory Formation - a comprehensive study reveals how AI tech influences memory and its potential implications. Learn more about the role of AI in shaping human memory and the need for safeguards. /search?q=#AI… The Impact of AI Chatbots on False Memory Formation: A Comprehensive Study

17/20
@itinaicom
Ready Tensor conducted a detailed study on Time Series Step Classification, evaluating 25 machine learning & neural network models. The study presents practical solutions, enlightening insights, and the effectiveness of boosting algorithms! /search?q=#Machin… Ready Tensor’s Deep Dive into Time Series Step Classification: Comparative Analysis of 25 Machine Learning and Neural Network Models

18/20
@itinaicom
Exciting news: MIT researchers have introduced a multi-task AI framework for accelerating molecular simulations and design, revolutionizing the field of molecular dynamics. Generative modeling offers practical solutions to expedite simulations, paving… MIT Researchers Introduce Generative Modeling of Molecular Dynamics: A Multi-Task AI Framework for Accelerating Molecular Simulations and Design

19/20
@itinaicom
Exciting news! Learn about Microsoft's Dynamic Few-Shot Prompting and Azure OpenAI's advanced model optimization techniques in NLP. From practical solutions to implementation and benefits, this comprehensive look will redefine your understanding.… Microsoft’s Dynamic Few-Shot Prompting Redefines NLP Efficiency: A Comprehensive Look into Azure OpenAI’s Advanced Model Optimization Techniques

20/20
@itinaicom
Exciting research from Salesforce AI! Large Language Models face a critical security challenge known as prompt leakage. Checkout their defense strategies and the impact on AI implementation. Don't miss out! /search?q=#SalesforceAI /search?q=#LLM /search?q=#AIresearch /search?q=#AIsecurity /search?q=#Pro… Salesforce AI Research Proposes a Novel Threat Model: Building Secure LLM Applications Against Prompt Leakage Attacks

 

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1/20
@itinaicom
Check out the comparison between Codeium and Tabnine for your coding needs! From AI assistance to security features and pricing models, we've got you covered. Whether you're an individual developer or part of a larger team, it's essential to choose th… Codeium vs. Tabnine: Comparison of Key Features and Benefits

2/20
@itinaicom
Discover the top 20 code review tools for software developers! Enhance code quality, streamline collaboration, and boost productivity with these powerful tools. Find the right fit for your team's needs and supercharge your development workflows! /search?q=#Code… Top 20 Code Review Tools for Software Developers

3/20
@itinaicom
Exciting insights on the impact of GPT-4 in physician diagnostic reasoning and the future of AI in clinical practice! Discover practical solutions and the value of AI in healthcare, and explore AI integration in clinical practice. /search?q=#HealthTech /search?q=#AIinHea… Evaluating the Impact of GPT-4 on Physician Diagnostic Reasoning: Insights and Future Directions for AI Integration in Clinical Practice

4/20
@itinaicom
Exciting news! Ultralytics has released YOLO11, featuring advanced real-time image analysis and autonomous system capabilities. This next-gen model boasts improved architecture, advanced data augmentation, novel loss function, real-time performance, a… YOLO11 Released by Ultralytics: Unveiling Next-Gen Features for Real-time Image Analysis and Autonomous Systems

5/20
@itinaicom
Exciting news for /search?q=#PyTorch users! Introducing Mirage: A Multi-Level Tensor Algebra Super-Optimizer that automates GPU kernel generation, boosting AI applications' performance and efficiency. Check out the benefits and practical solutions of Mirage her… Mirage: A Multi-Level Tensor Algebra Super-Optimizer that Automates GPU Kernel Generation for PyTorch Applications

6/20
@itinaicom
Exciting news! Liquid AI introduces Liquid Foundation Models (LFMs): A 1B, 3B, and 40B series of generative AI models. Setting new standards for performance and efficiency, LFMs offer practical solutions for various applications and excel at hand… Liquid AI Introduces Liquid Foundation Models (LFMs): A 1B, 3B, and 40B Series of Generative AI Models

7/20
@itinaicom
Exciting news in the world of AI! Introducing MIO: a groundbreaking multimodal token-based foundation model for end-to-end autoregressive understanding and generation of speech, text, images, and videos. Explore how MIO is revolutionizing AI capabi… MIO: A New Multimodal Token-Based Foundation Model for End-to-End Autoregressive Understanding and Generation of Speech, Text, Images, and Videos

8/20
@itinaicom
Exciting news! Microsoft just released VoiceRAG, an advanced voice interface powered by GPT-4 and Azure AI Search for real-time conversational applications. Learn about its architecture, key features, implementation, security, and future use cases. Ch… Microsoft Released VoiceRAG: An Advanced Voice Interface Using GPT-4 and Azure AI Search for Real-Time Conversational Applications

9/20
@itinaicom
Exciting news in /search?q=#TrafficForecasting! The revolutionary STGformer model combines graph-based convolutions with Transformer-like attention blocks, offering unparalleled computational efficiency and performance for large-scale networks. Say hello to the… STGformer: A Spatiotemporal Graph Transformer Achieving Unmatched Computational Efficiency and Performance in Large-Scale Traffic Forecasting Applications

10/20
@itinaicom
Exciting news from UC Berkeley researchers! Unsupervised SAM (UnSAM) is revolutionizing computer vision with its remarkable segmentation capabilities without extensive manual labeling. Achieving state-of-the-art results, UnSAM sets a new standard in unsu… Researchers from UC Berkeley Present UnSAM in Computer Vision: A New Paradigm for Segmentation with Minimal Data, Achieving State-of-the-Art Results Without Human Annotation

11/20
@itinaicom
Exciting news! Check out the latest research on Block Transformer: Enhancing Inference Efficiency in Large Language Models. Optimizing the self-attention mechanism, achieving gains in throughput, and maintaining high performance with longer prompts an… Block Transformer: Enhancing Inference Efficiency in Large Language Models Through Hierarchical Global-to-Local Modeling

12/20
@itinaicom
New Research Alert: "Evaluating the Vulnerabilities of Unlearning Techniques in Large Language Models: A Comprehensive White-Box Analysis" sheds light on AI safety and unlearning solutions. Key insights and practical strategies for safe AI implementat… Evaluating the Vulnerabilities of Unlearning Techniques in Large Language Models: A Comprehensive White-Box Analysis

13/20
@itinaicom
Explore the practical applications of ChatGPT for businesses! From enhancing customer support with chatbots to automating content creation and trend analysis, learn how AI is transforming various aspects of business operations. Check out the top 10 us… Top 10 ChatGPT Use Cases for Businesses

14/20
@itinaicom
Explore the power of Integrated Value Guidance (IVG) - an AI method revolutionizing model alignment with human values! Learn how IVG optimizes sentiment generation, summarization, and instructions, enhancing AI performance for real-world applicat… Integrated Value Guidance (IVG): An AI Method that Combines Implicit and Explicit Value Functions Applied to Token-Wise Sampling and Chunk-Level Beam Search

15/20
@itinaicom
Exciting news! IBM and NASA have released Prithvi WxC, a cutting-edge 2.3 billion parameter AI model for weather and climate. Learn how this revolutionary model is transforming weather and climate prediction and how AI can benefit your company. /search?q=#Pr… Prithvi WxC Released by IBM and NASA: A 2.3 Billion Parameter Foundation Model for Weather and Climate

16/20
@itinaicom
Exciting news from researchers from KAIST and Google AI introducing Blockwise Parallel Decoding (BCD), a method to improve efficiency and fluency in language models! /search?q=#AI /search?q=#LanguageModels /search?q=#BCD /search?q=#Innovation /search?q=#KAIST /search?q=#GoogleAI Find out more: [link to article]
Researchers from KAIST and Google AI Introduce Blockwise Parallel Decoding (BCD): An AI Method for Rescoring Algorithms for Improved Efficiency and Fluency in Language Models

17/20
@itinaicom
Exciting news! Introducing MALPOLON, a cutting-edge AI framework revolutionizing species distribution modeling with geospatial data and deep learning models. Say goodbye to traditional SDMs and welcome the future of ecological research. /search?q=#SpeciesDistri… MALPOLON: A Cutting-Edge AI Framework Designed to Enhance Species Distribution Modeling Through the Integration of Geospatial Data and Deep Learning Models

18/20
@itinaicom
Discover the power of CopilotKit's CoAgents, revolutionizing AI integration with real-time human supervision. CoAgents beta release delivers autonomous agent capabilities with human guidance, setting the standard for trustworthy AI systems. Learn more… CopilotKit’s CoAgents: The Missing Link that Makes It Easy to Connect LangGraph Agents to Humans in the Loop

19/20
@itinaicom
Exciting News Alert! Microsoft Researchers have unveiled RadEdit, a groundbreaking approach to stress-test biomedical vision models and eliminate dataset bias. Learn about practical solutions for biomedical vision models and explore AI solutions for y… Microsoft Researchers Unveil RadEdit: Stress-testing Biomedical Vision Models via Diffusion Image Editing to Eliminate Dataset Bias

20/20
@itinaicom
Exciting news in the world of AI! Introducing MaskLLM, a learnable AI method by NVIDIA and NUS that applies N:M sparsity to LLMs for enhanced efficiency and performance. Say hello to practical AI model deployment solutions with MaskLLM! /search?q=#AI /search?q=#MaskLLM #… MaskLLM: A Learnable AI Method that Facilitates End-to End Training of LLM Sparsity on Large-Scale Datasets

 

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1/20
@itinaicom
New AI Research Alert
Exciting collaboration from @KAISTofficial, @ucl, and KT exploring how Large Language Models acquire and retain factual knowledge. Find out the latest insights on practical solutions for improving LLMs' knowledge retention and t… This AI Paper from KAIST, UCL and KT Investigates the Acquisition and Retention of Factual Knowledge in Large Language Models

2/20
@itinaicom
Introducing LightLLM: A Lightweight, Scalable, and High-Speed Python Framework for LLM Inference and Serving! Practical solutions for efficient deployment of large language models and overcoming real-world challenges. Learn more about LightLLM's ke… LightLLM: A Lightweight, Scalable, and High-Speed Python Framework for LLM Inference and Serving

3/20
@itinaicom
New insight on Logic-of-Thought: Enhancing Logical Reasoning in Large Language Models through Propositional Logic Augmentation! Explore how the LoT method integrates symbolic reasoning with LLMs to boost performance and improve logical reasoning. L… Logic-of-Thought: Enhancing Logical Reasoning in Large Language Models through Propositional Logic Augmentation

4/20
@itinaicom
Exciting insights into /search?q=#AI! Instructive Decoding (ID) is revolutionizing AI by enhancing model attention and adherence to instructions without parameter updates. See practical solutions, business transformation, and connect with us for AI solutions! #… Instructive Decoding (ID): A Novel AI Method that Enhances the Attention of Instruction-Tuned LLMs Towards Provided Instructions during the Generation Phase without Any Parameter Updates

5/20
@itinaicom
Introducing Self-Training on Image Comprehension (STIC): a pioneering approach to optimize Large Vision Language Models' image comprehension capabilities. Learn how STIC enhances LVLMs' performance and the potential for AI integration in business. /search?q=#AI… Self-Training on Image Comprehension (STIC): A Novel Self-Training Approach Designed to Enhance the Image Comprehension Capabilities of Large Vision Language Models (LVLMs)

6/20
@itinaicom
Exciting News! Google has introduced FRAMES - an in-depth evaluation dataset for Retrieval-Augmented Generation (RAG) applications. This dataset aims to assess factuality, retrieval accuracy, and reasoning capabilities, enhancing the performance of… Google Releases FRAMES: A Comprehensive Evaluation Dataset Designed to Test Retrieval-Augmented Generation (RAG) Applications on Factuality, Retrieval Accuracy, and Reasoning

7/20
@itinaicom
Introducing 'bge-en-icl': a groundbreaking AI model revolutionizing text embeddings with in-context learning. Enhance your NLP tasks with state-of-the-art performance and adaptability! /search?q=#NLP /search?q=#AI /search?q=#TextEmbeddings /search?q=#bge-en-icl Learn more: [Link to Pap… ‘bge-en-icl’: A Novel AI Model that Employs Few-Shot Examples to Produce High-Quality Text Embeddings

8/20
@itinaicom
Exciting update! /search?q=#NotebookLM now integrates audio and YouTube content for enhanced research capabilities. Developed by Google, this tool streamlines multimedia summarization and transcription, making research more efficient. Unlock the power of AI and… NotebookLM Introduces Audio and YouTube Integration, Enhances Audio Overview Sharing

9/20
@itinaicom
Learn the top 10 strategies to lower Large Language Model (LLM) inference costs. From quantization to distributed inference, these tactics can optimize AI operations, cut expenses, and enhance scalability without compromising performance. Reach out to… Ten Effective Strategies to Lower Large Language Model (LLM) Inference Costs

10/20
@itinaicom
Excited to introduce /search?q=#RanDumb, a game-changing AI approach to Continual Learning! RanDumb overcomes catastrophic forgetting by efficiently embedding data and outperforming existing methods. Discover its practical value and scalability. /search?q=#AI /search?q=#Machi… RanDumb: A Simple Yet Powerful AI Approach to Exemplar-Free Continual Learning

11/20
@itinaicom
Exciting news! This AI Paper from Google reveals how Bayesian Neural Fields are revolutionizing spatiotemporal forecasting for large datasets. Learn about the practical solutions, key features, applications, and advantages over traditional methods. /search?q=#AI #… This AI Paper from Google Unveils How Bayesian Neural Fields Revolutionize Spatiotemporal Forecasting for Large Datasets

12/20
@itinaicom
Exciting news in biomedicine! Introducing BioMed-VITAL: A Clinician-Aligned AI Framework for Biomedical Visual Instruction Tuning. Harnessing clinician expertise to enhance AI model performance. Learn more about practical solutions and value of BioMed… BioMed-VITAL: A Clinician-Aligned AI Framework for Biomedical Visual Instruction Tuning

13/20
@itinaicom
"Excited to share a groundbreaking AI paper from KAIST demonstrating a novel approach to improving LLM inference efficiency in multilingual settings, leading to faster response times, reduced computational costs, and enhanced performance in translation t… This AI Paper from KAIST AI Introduces a Novel Approach to Improving LLM Inference Efficiency in Multilingual Settings

14/20
@itinaicom
Excited to share insights on Model Collapse in AI era and practical strategies to mitigate it! Our research offers valuable analytical insights and mitigation strategies, supporting the advancement of generative technologies. Connect with us for continuo… Model Collapse in the Synthetic Data Era: Analytical Insights and Mitigation Strategies

15/20
@itinaicom
Learn how to optimize text segmentation and stay competitive in NLP! Check out our comprehensive guide on Chunking Techniques for Retrieval-Augmented Generation (RAG) for insights into leveraging AI and redefining your sales processes. Discover more a… Chunking Techniques for Retrieval-Augmented Generation (RAG): A Comprehensive Guide to Optimizing Text Segmentation

16/20
@itinaicom
Exciting news from China! Researchers introduce INT-FlashAttention, a cutting-edge quantization architecture compatible with FlashAttention, boosting inference speed on Ampere GPUs. Get ready to enhance your AI solutions with Practical AI Solutions! #… Researchers from China Introduce INT-FlashAttention: INT8 Quantization Architecture Compatible with FlashAttention Improving the Inference Speed of FlashAttention on Ampere GPUs

17/20
@itinaicom
Exciting breakthrough in AI models for healthcare and real-world scenarios! Introducing CRoP: a revolutionary personalization method boosting accuracy and adaptability. Discover the practical solutions and value of CRoP approach in human-sensing AI mo… CRoP: A Context-wise Static Personalization Method for Robust and Scalable Human-Sensing AI Models in Healthcare and Real-World Scenarios

18/20
@itinaicom
Dive into the practical solutions & value of AMPLIFY Protein Language Model for efficient protein language model development. Learn how it emphasizes data quality over scale, leading to reduced parameters and powerful performance. Open-source accessib… AMPLIFY: Leveraging Data Quality Over Scale for Efficient Protein Language Model Development

19/20
@itinaicom
Discover the power of MotleyCrew AI Framework! Addressing real-world challenges with decentralized coordination, modular design, scalability, and efficiency. A game-changer for multi-agent AI systems. Learn more about it here: [Link] /search?q=#MotleyCrew /search?q=#AI #… MotleyCrew: A Flexible and Powerful AI Framework for Building Multi-Agent AI Systems

20/20
@itinaicom
Introducing FusionANNS: a groundbreaking solution combining CPU/GPU cooperative processing for enhanced AI performance and scalability. Practical applications and key highlights in the thread below. /search?q=#AI /search?q=#FusionANNS /search?q=#MachineLearning /search?q=#TechInnovation
FusionANNS: A Next-Gen ANNS Solution that Combines CPU/GPU Cooperative Processing for Enhanced Performance, Scalability, and Cost Efficiency

 

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1/20
@itinaicom
Introducing VectorSearch: the ultimate solution to document retrieval challenges! Discover how its hybrid indexing and multi-vector search enhance retrieval precision, scalability, and response times. Learn more at /search?q=#VectorSearch /search?q=#DocumentRetrieval /search?q=#Da… VectorSearch: A Comprehensive Solution to Document Retrieval Challenges with Hybrid Indexing, Multi-Vector Search, and Optimized Query Performance

2/20
@itinaicom
Exciting development in AI! Researchers from MIT and Peking University have introduced a self-correction mechanism to enhance the safety and reliability of Large Language Models. Learn more about this practical solution and its impact on real-world ap… Researchers from MIT and Peking University Introduce a Self-Correction Mechanism for Improving the Safety and Reliability of Large Language Models

3/20
@itinaicom
Introducing WaveletGPT: Leveraging Wavelet Theory for Speedier LLM Training Across Modalities. Enhance your AI models with wavelet transform and achieve 40-60% faster training! Find out how this innovative approach boosts efficiency for AI develo… WaveletGPT: Leveraging Wavelet Theory for Speedier LLM Training Across Modalities

4/20
@itinaicom
"Unraveling Transformer Optimization: A Hessian-Based Explanation for Adam’s Superiority over SGD. Practical insights into the performance gap between Adam and SGD optimizers in training Transformers. /search?q=#AI /search?q=#Optimization /search?q=#TransformerTraining"
Unraveling Transformer Optimization: A Hessian-Based Explanation for Adam’s Superiority over SGD

5/20
@itinaicom
Exciting news! Introducing Source-Disentangled Neural Audio Codec (SD-Codec): merging audio coding & source separation for enhanced efficiency and control. Revolutionizing audio compression! Learn more about this groundbreaking AI approach and its pra… Source-Disentangled Neural Audio Codec (SD-Codec): A Novel AI Approach that Combines Audio Coding and Source Separation

6/20
@itinaicom
Harness the power of Large Language Models (LLMs) like GPT-4 for improved collaboration, efficient deliberation, and innovative ideation. Understand the risks and mitigation strategies, and learn how AI can transform your business. /search?q=#CollectiveIntellig… Harnessing Collective Intelligence in the Age of Large Language Models: Opportunities, Risks, and Future Directions

7/20
@itinaicom
Exciting news! Introducing PDLP (Primal-Dual Hybrid Gradient Enhanced for LP) - a game-changing Linear Programming (LP) solver that scales up LP solving capabilities significantly. Check out how PDLP solves complex problems efficiently and overcomes t… PDLP (Primal-Dual Hybrid Gradient Enhanced for LP): A New FOM–based Linear Programming LP Solver that Significantly Scales Up Linear Programming LP Solving Capabilities

8/20
@itinaicom
Exciting news! RetrievalAttention sets a new standard in AI with a training-free machine learning approach, accelerating attention computation and reducing GPU memory consumption. Discover how this practical solution enhances efficiency in complex … RetrievalAttention: A Training-Free Machine Learning Approach to both Accelerate Attention Computation and Reduce GPU Memory Consumption

9/20
@itinaicom
Exciting AI breakthrough alert! Discover PhysMamba, the latest innovation in remote physiological monitoring. This cutting-edge AI framework extracts precise heart rate and heart rate variability from facial videos, revolutionizing non-invasive hea… What if Facial Videos Could Measure Your Heart Rate? This AI Paper Unveils PhysMamba and Its Efficient Remote Physiological Solution

10/20
@itinaicom
OpenAI just released the Multilingual Massive Multitask Language Understanding (MMMLU) Dataset on Hugging Face! Here’s how it’s revolutionizing evaluation of multilingual LLMs, promoting inclusivity, and shaping the future of AI. /search?q=#OpenAI /search?q=#MMMLU /search?q=#Huggi… OpenAI Releases Multilingual Massive Multitask Language Understanding (MMMLU) Dataset on Hugging Face to Easily Evaluate Multilingual LLMs

11/20
@itinaicom
"Exciting developments in /search?q=#ReinforcementLearning! CALM: Credit Assignment with Language Models is automating reward shaping using Large Language Models. This innovative approach improves learning efficiency in sparse-reward environments, reducing human… CALM: Credit Assignment with Language Models for Automated Reward Shaping in Reinforcement Learning

12/20
@itinaicom
Exciting news! Introducing TRUST-ALIGN: An AI framework that enhances the trustworthiness of retrieval-augmented generation in large language models. Learn how it improves model performance, benchmark results, and benefits real-world AI applicati… Trust-Align: An AI Framework for Improving the Trustworthiness of Retrieval-Augmented Generation in Large Language Models

13/20
@itinaicom
Exciting news! Introducing SNOPS, a machine learning-driven framework that automates model customization to mimic brain activity. This innovative tool from Carnegie Mellon & Pitt automates optimization, offering a quicker and more accurate approach. S… Spiking Network Optimization Using Population Statistics (SNOPS): A Machine Learning-Driven Framework that can Quickly and Accurately Customize Models that Reproduce Activity to Mimic What’s Observed in the Brain

14/20
@itinaicom
Exciting Advances in Large Language Models! The use of diverse instructional data has taken a leap forward with a clustering and iterative refinement approach. Enhancing performance and generalization, this method opens doors to new possibilities in A… Enhancing Large Language Models with Diverse Instruction Data: A Clustering and Iterative Refinement Approach

15/20
@itinaicom
Discover the power of AI in video generation with Dr. Mo – a groundbreaking network optimizing motion reuse. Efficiency meets quality, making Dr. Mo a valuable tool for filmmaking and education. Explore more at [Paper and Project Link]. /search?q=#AI /search?q=#VideoGene… Diffusion Reuse MOtion (Dr. Mo): A Diffusion Model for Efficient Video Generation with Motion Reuse

16/20
@itinaicom
Introducing Vista3D: A powerful AI framework for rapid and detailed 3D object generation from a single image. This innovative technology balances speed and quality, offering practical solutions to address 3D model generation challenges. Learn more abo… Vista3D: A Novel AI Framework for Rapid and Detailed 3D Object Generation from a Single Image Using Diffusion Priors

17/20
@itinaicom
Introducing MAGICORE: An AI Framework for Multi Agent Iteration for Coarse-to-fine Refinement! Enhance LLM performance, improve accuracy, and transform your processes with our practical solutions. Connect with us for AI KPI management insights. /search?q=#MAGIC… MAGICORE: An AI Framework for Multi Agent Iteration for Coarse-to-fine Refinement

18/20
@itinaicom
Exciting development in multi-agent reinforcement learning! Learn how Demand-Aware Customized Communication (DCMAC) optimizes communication, enhances collaboration, and outperforms existing algorithms. /search?q=#AI /search?q=#ReinforcementLearning /search?q=#DCMAC

Discover more … DCMAC: Demand-Aware Customized Communication for Efficient Multi-Agent Reinforcement Learning

19/20
@itinaicom
New AI breakthrough from MIT! "Can Cellular Automata Be Predicted Without Knowing the Grid?" introduces LifeGPT, a topology-agnostic transformer model that achieves over 99.9% accuracy in predicting CA dynamics after 20 epochs. /search?q=#AI /search?q=#MIT /search?q=#LifeGPT … Can Cellular Automata Be Predicted Without Knowing the Grid? This AI Paper from MIT Unveils LifeGPT: A Topology-Agnostic Transformer Model for Cellular Automata

20/20
@itinaicom
Exciting news! Check out the Advanced Privacy-Preserving Federated Learning (APPFL) framework, offering solutions for data heterogeneity, computational variations, and security risks in decentralized machine learning. Learn how it enhances privacy, ef… Advanced Privacy-Preserving Federated Learning (APPFL): An AI Framework to Address Data Heterogeneity, Computational Disparities, and Security Challenges in Decentralized Machine Learning

 

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@itinaicom
Exciting news! Google AI has introduced the Open Buildings 2.5D Temporal Dataset, tracking building changes across the Global South. This innovative tool utilizes machine learning and public satellite imagery to enhance accuracy and coverage, revoluti… Google AI Introduces the Open Buildings 2.5D Temporal Dataset that Tracks Building Changes Across the Global South

2/20
@itinaicom
"Explore the latest advancements in space-efficient algorithms for Integer Linear Programming (ILP) and how they enhance data science tools in various industries. /search?q=#ILP /search?q=#DataScience /search?q=#Algorithms /search?q=#ResearchPaper"
This Research Paper Discusses Space-Efficient Algorithms for Integer Programming with Few Constraints

3/20
@itinaicom
New insights into deep neural networks! Exploring Input Space Mode Connectivity reveals enhanced adversarial detection and improved model interpretability. Check out the key insights and implications in our latest research. More info at /search?q=#DeepLearning … Exploring Input Space Mode Connectivity: Insights into Adversarial Detection and Deep Neural Network Interpretability

4/20
@itinaicom
Introducing HARP: a revolutionary Multi-Agent Reinforcement Learning framework! Overcoming challenges in agent collaboration, HARP achieves outstanding performance with minimal human intervention. Learn more about the practical solutions and value of … HARP (Human-Assisted Regrouping with Permutation Invariant Critic): A Multi-Agent Reinforcement Learning Framework for Improving Dynamic Grouping and Performance with Minimal Human Intervention

5/20
@itinaicom
New Research Alert! AI safety is more critical than ever, especially with the rise of large language models. We must stay vigilant against potential manipulations. /search?q=#AISafety /search?q=#MathPrompt /search?q=#AIethics /search?q=#ArtificialIntelligence /search?q=#Technology /search?q=#Research /search?q=#AI /search?q=#Saf… MathPrompt: A Novel AI Method for Evading AI Safety Mechanisms through Mathematical Encoding

6/20
@itinaicom
Check out the innovative Michelangelo AI Framework, designed to evaluate long-context reasoning in large language models beyond simple retrieval tasks. Learn how Michelangelo is changing the game in AI capabilities and pushing the boundaries of measur… Michelangelo: An Artificial Intelligence Framework for Evaluating Long-Context Reasoning in Large Language Models Beyond Simple Retrieval Tasks

7/20
@itinaicom
"Introducing CORE-Bench: A new benchmark with 270 tasks based on 90 scientific papers across Computer Science, Social Science, and Medicine. It evaluates coding, retrieval & tool use skills in Python and R. /search?q=#AI /search?q=#COREBench /search?q=#ResearchReproducibility"
CORE-Bench: A Benchmark Consisting of 270 Tasks based on 90 Scientific Papers Across Computer Science, Social Science, and Medicine with Python or R Codebases

8/20
@itinaicom
Exciting news in the world of privacy and machine learning: HERL (Homomorphic Encryption Reinforcement Learning) is using Q-Learning to dynamically optimize encryption parameters for federated learning. Learn more about this game-changing approach and… HERL (Homomorphic Encryption Reinforcement Learning): A Reinforcement Learning-based Approach that Uses Q-Learning to Dynamically Optimize Encryption Parameters

9/20
@itinaicom
Exciting developments in leveraging /search?q=#AI for problem-solving and long-horizon planning! Comprehensive analysis highlights Chain-of-Thought (CoT) prompting's effectiveness in enhancing language models but reveals limitations beyond math and symbolic reason… Chain-of-Thought (CoT) Prompting: A Comprehensive Analysis Reveals Limited Effectiveness Beyond Math and Symbolic Reasoning

10/20
@itinaicom
" Discover the power of Retrieval-Augmented Generation (RAG), AI Agents, and the game-changing Agentic RAG! This in-depth analysis dives into the hybrid approach merging real-time retrieval with autonomous decision-making. Find out more about the fut… RAG, AI Agents, and Agentic RAG: An In-Depth Review and Comparative Analysis of Intelligent AI Systems

11/20
@itinaicom
Exciting News! Gated Slot Attention is revolutionizing language processing and sequence modeling in AI. Offering efficient processing for long sequences and superior performance in language tasks, it's a game-changer for the AI community. Learn more a… Gated Slot Attention: Advancing Linear Attention Models for Efficient and Effective Language Processing

12/20
@itinaicom
Exciting news! ByteDance Researchers have just released InfiMM-WebMath-40B, a cutting-edge multimodal dataset designed for complex mathematical reasoning. This dataset, extracted from 24M web pages and 85M image URLs, sets a new standard for training … ByteDance Researchers Release InfiMM-WebMath-40: An Open Multimodal Dataset Designed for Complex Mathematical Reasoning

13/20
@itinaicom
Exciting news! Google AI researchers have introduced a new Whale Bioacoustics Model capable of identifying 8 distinct whale species, including multiple calls for 2 of them. This breakthrough holds immense potential for conservation efforts and marine … Google AI Researchers Introduce a New Whale Bioacoustics Model that can Identify Eight Distinct Species, Including Multiple Calls for Two of Those Species

14/20
@itinaicom
"Discover the potential of /search?q=#MachineLearning in advancing membrane science! Learn how ML transforms the natural sciences, optimizes membrane design, and enhances performance. Check out these practical solutions and valuable insights. /search?q=#MembraneTechnology #… Advancing Membrane Science: The Role of Machine Learning in Optimization and Innovation

15/20
@itinaicom
Exciting news! Microsoft introduces GRIN MoE, a powerful model for efficient deep learning. Enhancing training efficiency, scalability, and performance across various benchmarks. Join the future of AI with GRIN MoE! /search?q=#GRINMoE /search?q=#DeepLearning /search?q=#AI /search?q=#Microso… Microsoft Releases GRIN MoE: A Gradient-Informed Mixture of Experts MoE Model for Efficient and Scalable Deep Learning

16/20
@itinaicom
Exciting news! LightOn has released the FC-AMF-OCR Dataset, a game-changing resource for improving optical character recognition (OCR) and machine learning. With 9.3 million images and full OCR annotations, this dataset offers practical solutions and … LightOn Released FC-AMF-OCR Dataset: A 9.3 Million Images Dataset of Financial Documents with Full OCR Annotations

17/20
@itinaicom
" Exciting news! Google DeepMind introduces SCoRe, a cutting-edge AI method for boosting accuracy in complex mathematical and coding tasks. Learn how self-correction via reinforcement learning is taking large language models to the next level! /search?q=#AI /search?q=#Goo… Google DeepMind Introduced Self-Correction via Reinforcement Learning (SCoRe): A New AI Method Enhancing Large Language Models’ Accuracy in Complex Mathematical and Coding Tasks

18/20
@itinaicom
Exciting news! Introducing PPlug: a Lightweight Plug-and-Play Model for Personalized Language Generation. Say goodbye to extensive fine-tuning and hello to user-specific embeddings guiding language models. Unlock efficient personalization and tailored… Persona-Plug (PPlug): A Lightweight Plug-and-Play Model for Personalized Language Generation

19/20
@itinaicom
"Unlock the power of AI with Contextual Retrieval! Discover how this advanced technique can increase retrieval accuracy by up to 67%, enhancing AI performance and reliability. Gain insights into practical implementation and maximize your business potenti… Contextual Retrieval: An Advanced AI Technique that Reduces Incorrect Chunk Retrieval Rates by up to 67%

20/20
@itinaicom
Exciting News! Introducing LASR – a groundbreaking approach to symbolic regression using large language models. Find out how LASR is revolutionizing AI discovery and check out our practical solutions for AI implementation. /search?q=#SymbolicRegression /search?q=#AI /search?q=#LAS… LASR: A Novel Machine Learning Approach to Symbolic Regression Using Large Language Models

 

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@itinaicom
Excited to introduce ZML: A High-Performance AI Inference Stack enabling parallelization and deep learning on diverse hardware platforms. With features like hybrid execution and custom operator integration, ZML optimizes AI models for real-time deploymen… ZML: A High-Performance AI Inference Stack that can Parallelize and Run Deep Learning Systems on Various Hardware

2/10
@itinaicom
Discover how Sketch, an innovative AI toolkit, enhances Large Language Model operations across diverse fields! From practical solutions to performance evaluation, Sketch streamlines LLM usage and format control. Learn more about this advancement in AI… Sketch: An Innovative AI Toolkit Designed to Streamline LLM Operations Across Diverse Fields

3/10
@itinaicom
New Research Alert! Comprehensive Evaluation of Quantized Instruction-Tuned LLMs: Exploring Quantization Methods for Models Ranging from 7B to 405B Parameters. Findings, practical solutions, and value propositions for enhancing AI performance and effi… Comprehensive Evaluation of Quantized Instruction-Tuned LLMs: Exploring Quantization Methods for Models Ranging from 7B to 405B Parameters

4/10
@itinaicom
Discover the power of MMSearch Engine, the game-changing AI search solution with groundbreaking multimodal capabilities. /search?q=#AI /search?q=#MMSearchEngine /search?q=#MultimodalSearch /search?q=#SearchTechnology /search?q=#AIinBusiness /search?q=#Innovation /search?q=#FutureTech
MMSearch Engine: AI Search with Advanced Multimodal Capabilities to Accurately Process and Integrate Text and Visual Queries for Enhanced Search Results

5/10
@itinaicom
Exciting Breakthrough in Software Development! CodeMaker AI achieves 91% accuracy in recreating 90,000 lines of code, setting a new benchmark for AI-driven code generation. /search?q=#CodeMakerAI /search?q=#AI /search?q=#SoftwareDevelopment /search?q=#ArtificialIntelligence

Practical So… CodeMaker AI Breakthrough in Software Development: Achieves 91% Accuracy in Recreating 90,000 Lines of Code, Setting a New Benchmark for AI-driven code Generation and Fine-Tuned Model

6/10
@itinaicom
Exciting news! ByteDance has introduced the Hierarchical Large Language Model (HLLM) Architecture to revolutionize recommendation systems. Overcoming cold-start challenges and enhancing scalability with state-of-the-art performance, HLLM is set to tra… ByteDance Introduced Hierarchical Large Language Model (HLLM) Architecture to Transform Sequential Recommendations, Overcoming Cold-Start Challenges, and Enhancing Scalability with State-of-the-Art Performance

7/10
@itinaicom
Exciting news! Introducing MagpieLM-4B-Chat-v0.1 and MagpieLM-8B-Chat-v0.1: cutting-edge open-source small language models for AI alignment and research! Learn about their practical solutions, transparency, performance benchmarks, and future i… MagpieLM-4B-Chat-v0.1 and MagpieLM-8B-Chat-v0.1 Released: Groundbreaking Open-Source Small Language Models for AI Alignment and Research

8/10
@itinaicom
Exciting news! NVIDIA has introduced NVLM 1.0: a groundbreaking family of Multimodal Large Language Models, revolutionizing text and image processing for AI systems. These models excel in image captioning, document understanding, and more! /search?q=#NVLM /search?q=#AI #… This AI Paper by NVIDIA Introduces NVLM 1.0: A Family of Multimodal Large Language Models with Improved Text and Image Processing Capabilities

9/10
@itinaicom
Check out the latest breakthrough in AI research - Salesforce AI has unveiled the SFR-RAG: a 9-billion parameter model revolutionizing contextual accuracy and efficiency in retrieval augmented generation frameworks. Learn how this innovation is changing … Salesforce AI Research Unveiled SFR-RAG: A 9-Billion Parameter Model Revolutionizing Contextual Accuracy and Efficiency in Retrieval Augmented Generation Frameworks

10/10
@itinaicom
Exciting news from Harvard AI researchers! Check out the new SOAP optimizer, a game-changer for large language models. Learn how SOAP improves efficiency and performance in deep learning tasks. /search?q=#AI /search?q=#DeepLearning /search?q=#SOAPOptimizer /search?q=#HarvardAI /search?q=#TechInnovati… Can We Optimize Large Language Models Faster Than Adam? This AI Paper from Harvard Unveils SOAP to Improve and Stabilize Shampoo in Deep Learning

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Google’s Whisk AI generator will ‘remix’ the pictures you plug in

You can make some weird stuff.

www.theverge.com

Google’s Whisk AI generator will ‘remix’ the pictures you plug in​

Whisk is Google’s ‘fun’ AI experiment that uses images for prompts and doesn’t need words.​

By Jay Peters, a news editor who writes about technology, video games, and virtual worlds. He’s submitted several accepted emoji proposals to the Unicode Consortium.
Dec 16, 2024, 1:12 PM EST

An AI-generated image I made in Whisk using Google’s suggested images as prompts. Image: Google via Whisk

Google has announced a new AI tool called Whisk that lets you generate images using other images as prompts instead of requiring a long text prompt.

With Whisk, you can offer images to suggest what you’d like as the subject, the scene, and the style of your AI-generated image, and you can prompt Whisk with multiple images for each of those three things. (If you want, you can fill in text prompts, too.) If you don’t have images on hand, you can click a dice icon to have Google fill in some images for the prompts (though those images also appear to be AI-generated). You can also enter some text into a text box at the end of the process if you want to add extra detail about the image you’re looking for, but it’s not required.

Whisk will then generate images and a text prompt for each image. You can favorite or download the image if you’re happy with the results, or you can refine an image by entering more text into the text box or clicking the image and editing the text prompt.

A screenshot of Whisk. I clicked the dice to generate a subject, scene, and style. I swapped out the auto-generated scene by entering a text prompt. Whisk created the first two images, which I iterated on by asking Whisk to add some steam around the subject (because it’s a fire being in water), resulting in the next two images. Screenshot by Jay Peters / The Verge

Related​

• 
  Google says the next version of its Sora competitor is better at real-world physics.
  
• 
  Sora’s AI video revolution is still a ways off
  

In a blog post, Google stresses that Whisk is designed to be for “rapid visual exploration, not pixel-perfect edits.” The company also says that Whisk may “miss the mark,” which is why it lets you edit the underlying prompts.

In the few minutes I’ve used the tool while writing this story, it’s been entertaining to tinker with. Images take a few seconds to generate, which is annoying, and while the images have been a little strange, everything I’ve generated has been fun to iterate on.

Google says Whisk uses the “latest” iteration of its Imagen 3 image generation model, which it announced today. Google also introduced Veo 2, the next version of its video generation model, which the company says has an understanding of “the unique language of cinematography” and hallucinates things like extra fingers “less frequently” than other models (one of those other models is probably OpenAI’s Sora). Veo 2 is coming first to Google’s VideoFX, which you can get on the Google Labs waitlist for, and it will be expanded to YouTube Shorts “other products” sometime next year.

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@artl_intel
Google’s AI tools updates:

Veo 2 generates cinematic 4K videos with stunning realism.

Imagen 3 creates high-quality, detailed images in diverse styles.

Whisk lets you remix visuals with image-based prompts.



https://video.twimg.com/amplify_video/1869204100442984450/vid/avc1/886x672/tR6HAG7KjhSN58nN.mp4

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@artl_intel
State-of-the-art video and image generation with Veo 2 and Imagen 3




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@MMward9
Google's new AI tool, Whisk, introduces a novel approach to image generation by allowing users to create visuals using existing images as prompts, offering a more intuitive alternative to traditional text-based methods.

2/2
@MMward9
Learn More about Google Whisk with Perplexity
https://www.perplexity.ai/page/google-s-whisk-image-tool-Kb4z9s3WQqKrEbsrepasbQ




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@Google
Today we’re making updates to our video and image generation models, with Veo 2 and Imagen 3, plus our newest experiment in gen AI, Whisk.

Learn more → State-of-the-art video and image generation with Veo 2 and Imagen 3

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@Google
Veo 2, our state-of-the-art video generation model, has:
- A better understanding of real-world physics & nuances of movement
- The ability to understand language of cinematography, like lens type & effects
- Resolution up to 4K



https://video.twimg.com/amplify_video/1868706783826452480/vid/avc1/1080x1080/nPWF2JQQQMgQ6bma.mp4

3/14
@Google
Imagen 3, our highest quality image generation model, is now even better with:
- Brighter, better composed images
- More diverse art styles w/ greater accuracy
- Richer details and textures

Imagen 3 updates are starting to roll out to 100 countries → ImageFX

4/14
@Google
We’re also launching our newest experiment in generative AI: Whisk. Instead of generating images with long, detailed text prompts, Whisk lets you prompt with images. Simply drag in images, and start creating → Whisk: Visualize and remix ideas using images and AI

5/14
@Google
Whisk lets you input images for the subject, one for the scene & another image for the style. Then, you can remix them to create something uniquely your own, from a digital plushie to an enamel pin or sticker.
Try it out and let us know what you think ↓ LABS.GOOGLE



6/14
@caiao23
Cowboy Bebop vibes, loved it



7/14
@maxinnerly
What are you waiting for? Go RUUUUUUNNNNNNNNNNNN!!!!



8/14
@schachin
Oh great more devaluation of real artists that you stole from to make more useless things



9/14
@GHMonroe
Google has ZERO support. If you FIND a phone number, their 2nd level of defense against customers is an automated operator that will send you into an infinite loop of non-support with the intention of tiring you out and making you give up.



10/14
@AbrahamRuiz913
What's the name of this piece of art? @Google



11/14
@hadiths_en_fr




12/14
@privateman31206


[Quoted tweet]
(Dns over https and dns over tls )when it used it is giving ssl certificate error.

13/14
@CardanoMentor
In love with you guys



14/14
@Jeekaloo
wow this is some impressive stuff, love the direction this is heading in for easy customization and editing




To post tweets in this format, more info here: https://www.thecoli.com/threads/tips-and-tricks-for-posting-the-coli-megathread.984734/post-52211196

 

[bnew]

OpenAI cofounder Ilya Sutskever says the way AI is built is about to change

“We’ve achieved peak data and there’ll be no more.”

www.theverge.com

OpenAI cofounder Ilya Sutskever says the way AI is built is about to change​

“We’ve achieved peak data and there’ll be no more,” OpenAI’s former chief scientist told a crowd of AI researchers.​

By Kylie Robison, a senior AI reporter working with The Verge's policy and tech teams. She previously worked at Fortune Magazine and Business Insider.
Dec 13, 2024, 7:34 PM EST

Ilya Sutskever. Photo by JACK GUEZ/AFP via Getty Images

OpenAI’s cofounder and former chief scientist, Ilya Sutskever, made headlines earlier this year after he left to start his own AI lab called Safe Superintelligence Inc. He has avoided the limelight since his departure but made a rare public appearance in Vancouver on Friday at the Conference on Neural Information Processing Systems (NeurIPS).
“Pre-training as we know it will unquestionably end,” Sutskever said onstage. This refers to the first phase of AI model development, when a large language model learns patterns from vast amounts of unlabeled data — typically text from the internet, books, and other sources.

“We’ve achieved peak data and there’ll be no more.”

During his NeurIPS talk, Sutskever said that, while he believes existing data can still take AI development farther, the industry is tapping out on new data to train on. This dynamic will, he said, eventually force a shift away from the way models are trained today. He compared the situation to fossil fuels: just as oil is a finite resource, the internet contains a finite amount of human-generated content.
“We’ve achieved peak data and there’ll be no more,” according to Sutskever. “We have to deal with the data that we have. There’s only one internet.”

Ilya Sutskever calls data the “fossil fuel” of AI. Ilya Sutskever/NeurIPS

Next-generation models, he predicted, are going to “be agentic in a real ways.” Agents have become a real buzzword in the AI field. While Sutskever didn’t define them during his talk, they are commonly understood to be an autonomous AI system that performs tasks, makes decisions, and interacts with software on its own.

Along with being “agentic,” he said future systems will also be able to reason. Unlike today’s AI, which mostly pattern-matches based on what a model has seen before, future AI systems will be able to work things out step-by-step in a way that is more comparable to thinking.

Do you work at OpenAI? I’d love to chat. You can reach me securely on Signal @kylie.01 or via email at kylie@theverge.com.

The more a system reasons, “the more unpredictable it becomes,” according to Sutskever. He compared the unpredictability of “truly reasoning systems” to how advanced AIs that play chess “are unpredictable to the best human chess players.”
“They will understand things from limited data,” he said. “They will not get confused.”

On stage, he drew a comparison between the scaling of AI systems and evolutionary biology, citing research that shows the relationship between brain and body mass across species.

 

[bnew]

 

[bnew]

AI expert on €1.5 billion for European AI factories: 'Not enough to compete with US'

The European Commission is investing in AI factories. But if we want to compete with the US, more is needed.

ioplus.nl

AI expert on €1.5 billion for European AI factories: 'Not enough to compete with US'​

The European Commission is investing in AI factories. But if we want to compete with the US, more is needed.

Published on December 18, 2024

By: Elcke Vels​

Everything new is wildly interesting! That's the motto of our DATA+ expert, Elcke Vels. She writes stories about AI and how it affects our society, has a series on cyber security, and interviews Dutch innovation maestros. In her “What if...” column, she also explores intriguing scenarios that deviate from the status quo.
Seven large AI factories spread across Europe: they should guarantee our continent a leading position in artificial intelligence. The European Commission has released €1.5 billion to realize this ambitious project. But if we want to compete with countries like the U.S., more is needed. “Powerful cloud computing and significantly more funding from business,” for example. IO+ interviewed AI expert Maarten Sukel, PhD, from the University of Amsterdam. He is the author of the book The AI Revolution and the founder of the company The AI Factory.

The AI revolution can be seen as a modern counterpart to the industrial revolution. Steam power in the 18th century was a systems technology that radically transformed society. AI has similar potential.

And so the continents are vying for a leadership position. The seven AI factories being built thanks to the €1.5 billion investment from the EU are a step toward making Europe competitive on the world stage. They should provide access to the massive computing power that startups, industry, and researchers need to develop their AI models and systems, such as European large language models or specialized vertical AI models targeting specific sectors or domains.

Seven new AI factories across the continent aim to create European large language models​

The European Commission selected seven consortia to establish AI factories boosting AI innovation in the EU

€1.5 billion for AI: nice step, but not enough​

A nice step forward. However, much more is needed in Europe. Although the EU funding makes for a nice headline, it is important to put it in perspective, the researcher believes. “€1.5 billion sounds like a huge amount at first glance, but if you divide it over seven projects it's not too bad in proportion.” Microsoft recently invested €4 billion in French cloud and AI projects; considerably more than the European Union invests in this case, despite the EU being a collaboration of 27 member states.

It is not at all comparable to the investments we see in the US. “There, investment comes mainly from industry, whereas in Europe most of the money for AI development comes from government. Historically, public investments have been far from successful.” Between 2018 and 2020, AI investment in the EU increased. Yet the gap between the US and EU more than doubled over the same period (€10.7 billion EU, vs. €21.1 billion US), in both the public and private sectors.

Standing on its own two feet​

Funding is essential, Sukel explains, because it is needed to scale up three crucial aspects of AI in Europe: computing power, access to data, and the development of advanced algorithms. Computing power - crucial, since AI models require intensive processing power - is now being worked on with the series of AI factories. Data can be partly taken from the Internet. Sukel explains that the biggest problem in Europe is the limited availability of powerful cloud computing infrastructure. Cloud computing refers to storing and processing data on servers accessible over the Internet, rather than on local computers or physical servers. “The big players, such as AWS, Google, and Microsoft, dominate the field, while European initiatives remain small-scale. This leaves us dependent on American companies.”

Interestingly, however, the development of increasingly large language models seems to be stagnating. Instead, the focus is shifting to smaller, open models accessible to all. “This trend offers opportunities for Europe to stand on its own two feet,” said the scientist.

Investing in education​

That sounds hopeful. But there are other challenges facing Europe. One is the need to invest heavily in AI education. Without enough scientists, engineers, and experts who understand and can apply this technology, even the most advanced computing power will remain untapped. “Europe has excellent researchers, but many of them are quickly snatched away by U.S. tech companies. As a result, Europe lacks companies that know how to turn this knowledge into successful business models.”

Privacy obstacles​

Another well-known obstacle is strict laws and regulations, such as the GDPR, or the new AI Act: typically European values that slow down innovation, Sukel said. “For applications such as online advertising, such regulations are well justified, but in sectors such as healthcare, where AI can save lives, more flexibility is needed. It is important to strike the balance: ensure privacy, but at the same time create space for data-intensive innovations.”

By making datasets available, more companies and agencies can contribute to developing AI solutions. Take, for example, Kaggle: a platform where users can download datasets and participate in competitions to develop the best algorithm. This platform often focuses on commercial applications such as efficiency in purchasing or advertising. But this same concept can also be applied to societal challenges. From such competitions, in turn, new talent comes rolling in to work at AI companies. “It would be good to have a European-focused alternative."

 

[bnew]

Spoiler: thread continued

Spoiler: full text & large images

1/11
@_philschmid
WTF?! New open-source physics AI engine absolutely insane! Genesis is a new physics engine that combines ultra-fast simulation with generative capabilities to create dynamic 4D worlds for robotics and physics.

TL;DR:
430,000x faster than real-time physics simulation, processes 43M FPS on a single RTX 4090
Built in pure Python, 10-80x faster than existing GPU solutions like Isaac Gym
Cross-platform support: Linux, MacOS, Windows, with CPU, NVIDIA, AMD, and Apple Metal backends
Unified framework combining multiple physics solvers: Rigid body, MPM, SPH, FEM, PBD, Stable Fluid
Extensive robot support: arms, legged robots, drones, soft robots; supports MJCF, URDF, obj, glb files
Built-in photorealistic ray-tracing rendering
Takes only 26 seconds to train real-world transferrable robot locomotion policies
Simple installation via pip: pip install genesis-world
Physics engine and simulation platform are fully open-sourced
”.generate” method/generative framework coming soon.



https://video.twimg.com/ext_tw_video/1869639134156840960/pu/vid/avc1/1280x720/rffXgweJaKVMxGFQ.mp4

2/11
@_philschmid
Code: GitHub - Genesis-Embodied-AI/Genesis: A generative world for general-purpose robotics & embodied AI learning.
Documentation: Genesis — Genesis 0.2.0 documentation

GitHub - Genesis-Embodied-AI/Genesis: A generative world for general-purpose robotics & embodied AI learning.



3/11
@ma5701458
@pikaso_me screenshot this



4/11
@pikaso_me
Enjoy your screenshot and...

Get 10 stickers for $1: $1 for 10 | Sticker Mule

5/11
@PamirSevincel
this is insane. you probably won't need that much real world data to train physical systems e.g. humanoid robots.

@adcock_brett what do you think?



6/11
@Mooie_89
@khouuba



7/11
@BalajiAkiri
A new era of Robotics begins



8/11
@360
Reality breaks more every day



9/11
@AIBuzzNews
@desy @desynews das könnte spannend und auch nützlich sein.



10/11
@glaksmono
This is super cool



11/11
@EducatingwithAI
Generative AI has hit a wall

In before: but this is not pure GenAI.

No, but it uses it with other tools - exactly what @ilyasut mentioned.

Spoiler: thread continued

Spoiler: full text & large images

1/11
@EHuanglu
This New AI Just Nuked the Competition

Genesis AI is here to wipe out every outdated simulation
and totally dominate AI world.

- Open sourced
- Create data from prompt
- 430,000x faster than real-time
- Create 4D physical worlds in seconds with text prompt

Let's dive in:



https://video.twimg.com/ext_tw_video/1869694710941618176/pu/vid/avc1/1280x720/dZ67k0pVaJpn20Ny.mp4

2/11
@EHuanglu
1. Generating 4D dynamical & physical world

• VLM-based generative agent
• Worlds provide diverse data modalities.
• Generates physically accurate, view consistent videos with camera and object motion.



https://video.twimg.com/ext_tw_video/1869709610762055682/pu/vid/avc1/1280x720/vznCJHqYHQh66u3C.mp4

3/11
@EHuanglu
2. Precise control

• Provides complete control over physics
• Handles camera motion and parameters with precision



https://video.twimg.com/ext_tw_video/1869709664302313472/pu/vid/avc1/1280x720/AnS2VyDilYPHlN2a.mp4

4/11
@EHuanglu
3. Character Motion Generation

• A Chinese soldier performs the Gangnam Style dance
• A Japanese samurai performs boxing
• A Roman soldier walks forward like a zombie



https://video.twimg.com/ext_tw_video/1869709732405182464/pu/vid/avc1/1280x720/tSN-btsf_6i4GXb_.mp4

5/11
@EHuanglu
4. Robotic Policy Generation

• Generative robotic agent + advanced physics engine
• Generates demonstration data for diverse skills
• Enables robots to learn and adapt autonomously.
• Powered by AI models for next-level automation.



https://video.twimg.com/ext_tw_video/1869709846528110592/pu/vid/avc1/1280x720/3fM-cF-Dmh5Ta9As.mp4

6/11
@EHuanglu
5. 3D & Fully Interactive Scene Generation

"A home interior scene with a living room (including a dinning space), a restroom, a study and a bedroom."



https://video.twimg.com/ext_tw_video/1869709919198515200/pu/vid/avc1/1280x720/frU1kO_8cGhMx4Fz.mp4

7/11
@EHuanglu
6. Speech Audio, Facial Animation & Emotion Generation



https://video.twimg.com/ext_tw_video/1869709968406142976/pu/vid/avc1/1280x720/LOXAphf2Ddtic8v1.mp4

8/11
@EHuanglu
Open sourced code:
GitHub - Genesis-Embodied-AI/Genesis: A generative world for general-purpose robotics & embodied AI learning.

Project Page:
Genesis



9/11
@EHuanglu
If you enjoyed reading this post,

Follow @EHuanglu for more great stuff!

And support with like/repost the post below

[Quoted tweet]
This New AI Just Nuked the Competition

Genesis AI is here to wipe out every outdated simulation
and totally dominate AI world.

- Open sourced
- Create data from prompt
- 430,000x faster than real-time
- Create 4D physical worlds in seconds with text prompt

Let's dive in:
[media=twitter]1869710532934254954[/media]

https://video.twimg.com/ext_tw_video/1869694710941618176/pu/vid/avc1/1280x720/dZ67k0pVaJpn20Ny.mp4

10/11
@zeng_wt
This is just 2024. Not even 2025. And we have this! wow



11/11
@EHuanglu
I always thought 2025 is the year of 3D, it seems I was short sighted

Spoiler: thread continued

Spoiler: full text & large images

1/11
@zhou_xian_
Everything you love about generative models — now powered by real physics!

Announcing the Genesis project — after a 24-month large-scale research collaboration involving over 20 research labs — a generative physics engine able to generate 4D dynamical worlds powered by a physics simulation platform designed for general-purpose robotics and physical AI applications.

Genesis's physics engine is developed in pure Python, while being 10-80x faster than existing GPU-accelerated stacks like Isaac Gym and MJX. It delivers a simulation speed ~430,000 faster than in real-time, and takes only 26 seconds to train a robotic locomotion policy transferrable to the real world on a single RTX4090 (see tutorial: Training Locomotion Policies with RL — Genesis 0.2.0 documentation).

The Genesis physics engine and simulation platform is fully open source at GitHub - Genesis-Embodied-AI/Genesis: A generative world for general-purpose robotics & embodied AI learning.. We'll gradually roll out access to our generative framework in the near future.

Genesis implements a unified simulation framework all from scratch, integrating a wide spectrum of state-of-the-art physics solvers, allowing simulation of the whole physical world in a virtual realm with the highest realism.

We aim to build a universal data engine that leverages an upper-level generative framework to autonomously create physical worlds, together with various modes of data, including environments, camera motions, robotic task proposals, reward functions, robot policies, character motions, fully interactive 3D scenes, open-world articulated assets, and more, aiming towards fully automated data generation for robotics, physical AI and other applications.

Open Source Code: GitHub - Genesis-Embodied-AI/Genesis: A generative world for general-purpose robotics & embodied AI learning.
Project webpage: Genesis

Documentation: Genesis — Genesis 0.2.0 documentation

1/n



https://video.twimg.com/ext_tw_video/1869510892880097280/pu/vid/avc1/1280x720/_dc5zlB1WmdE01Jh.mp4

2/11
@zhou_xian_
Nvidia brought GPU acceleration to robotic simulation, speeding up simulation speed by more than one order of magnitude compared to CPU-based simulation. This brought numerous amazing robotic skills to life by leveraging large-scale GPU-parallelized simulation. Genesis pushes up this speed by another order of magnitude. Note that the speed improvement is achieved with no compromise in simulation accuracy.
2/n



https://video.twimg.com/ext_tw_video/1869506856051261441/pu/vid/avc1/1280x720/F5sz3RnivNvuO6Dj.mp4

3/11
@zhou_xian_
Genesis supports simulating various types of physical phenomena. We developed from scratch a unified physics engine that integrates various SOTA physics solvers (MPM, SPH, FEM, Rigid Body, PBD, etc.), supporting simulation of a wide range of materials: rigid body, articulated body, Cloth, Liquid, Smoke, Deformables, Thin-shell materials, Elastic/Plastic Body, Robot Muscles, etc.

3/n



https://video.twimg.com/ext_tw_video/1869507363788541952/pu/vid/avc1/1280x720/NEU8FPHKy4Z_bAk6.mp4

4/11
@zhou_xian_
Genesis is the first-ever platform providing comprehensive support for soft muscles and soft robot and their interaction with rigid robots. Genesis also ships with a URDF-like soft-robot configuration system.

4/n



https://video.twimg.com/ext_tw_video/1869512601123594241/pu/vid/avc1/1280x720/UUrRbSSpOXEOIhY_.mp4

5/11
@zhou_xian_
Genesis's generative framework supports generating 3D and fully interactive scenes for training robotic skills
5/n



https://video.twimg.com/ext_tw_video/1869512781008973825/pu/vid/avc1/1280x720/62RDqV516piUnQM5.mp4

6/11
@zhou_xian_
Our generative agent autonomously proposes robotic tasks, design environments, write reward functions, and ultimately leading to automated generation of robotic policies.

6/n



https://video.twimg.com/ext_tw_video/1869512976299864064/pu/vid/avc1/1280x720/0YflDqvt8WnNtXNj.mp4

7/11
@zhou_xian_
Genesis's generative framework supports data generation beyond robotics, such as character motion:

7/n



https://video.twimg.com/ext_tw_video/1869513206672117760/pu/vid/avc1/1280x720/-sNINHa-_cgzgdiI.mp4

8/11
@zhou_xian_
Genesis's GPU parallellized IK solver is able to solve IK for 10,000 Franka arms simultaneously, under 2ms:

8/n



https://video.twimg.com/ext_tw_video/1869513330584338432/pu/vid/avc1/1280x720/JzGz03g2Il-_wzLD.mp4

9/11
@zhou_xian_
We support native non-convex collision handling:

9/n



https://video.twimg.com/ext_tw_video/1869513464055492608/pu/vid/avc1/1280x720/B6sCV4PMyOtFHggC.mp4

10/11
@zhou_xian_
Genesis supports a physically accurate tactile sensing simulation module: GitHub - Genesis-Embodied-AI/DiffTactile: [ICLR 2024] DiffTactile: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation. (Will be integrated into the main branch in a future release soon)

10/n



11/11
@zhou_xian_
Finally, a cute interactive physical Tetris game made with Genesis

Thanks to all the amazing collaborators who together made everything possible over the last two years! There's no space here to @ every single one, but a huge kudos to the whole Genesis team!

We welcome everyone from the open-source community to come join us and build Genesis with us together!

11/11



https://video.twimg.com/ext_tw_video/1869514325922058240/pu/vid/avc1/1280x720/kOCJbJ4KQnUJw1ht.mp4

 

[bnew]

[

Spoiler: thread continued

Spoiler: full text & large images

1/11
@OfficialLoganK
Just when you thought it was over... we’re introducing Gemini 2.0 Flash Thinking, a new experimental model that unlocks stronger reasoning capabilities and shows its thoughts.

The model plans (with thoughts visible), can solve complex problems with Flash speeds, and more



2/11
@OfficialLoganK
It’s still an early version, but check out how the model handles a challenging puzzle involving both visual and textual clues: (2/3)



https://video.twimg.com/ext_tw_video/1869787455328493568/pu/vid/avc1/1386x720/lwZarTeLMW9qBsRM.mp4

3/11
@OfficialLoganK
Try it out today in Google AI Studio and the Gemini API. This is just the first step in our reasoning journey, excited to see what you all think!

Sign in - Google Accounts



4/11
@SteveMoraco
y'all already crushed openai tbh congrats lol

but pls we just need a unified app/interface so people actually know where to go to use Veo 2 etc



5/11
@OfficialLoganK
Google AI Studio soon : ) hang tight



6/11
@MFrancis107
Only a 32k context window?



7/11
@OfficialLoganK
Yeah, lots of limitations right now, but we will fast follow in the new year with longer context, tool support, etc. Just had a pretty busy last few weeks : )



8/11
@riderjharris
Will it have internet access?



9/11
@OfficialLoganK
Not right now, tools are disabled at the moment, but we will enable them in the new year



10/11
@thibaudz
will it be available on ‎Gemini - chat to supercharge your ideas ?



11/11
@daniel_nguyenx
Wow. Google actually ships.




To post tweets in this format, more info here: https://www.thecoli.com/threads/tips-and-tricks-for-posting-the-coli-megathread.984734/post-52211196

[

Spoiler: full text & large images

1/10
@karpathy
The new Gemini 2.0 Flash Thinking model (Gemini version of GPT o1 that takes a while to think before responding) is very nice and fast and now available to try on Google AI Studio .

The prominent and pleasant surprise here is that unlike o1 the reasoning traces of the model are shown. As a user I personally really like this because the reasoning itself is interesting to see and read - the models actively think through different possibilities, ideas, debate themselves, etc., it's part of the value add. The case against showing these is typically a concern of someone collecting the reasoning traces and training to imitate them on top of a different base model, to gain reasoning ability possibly and to some extent.

[Quoted tweet]
Introducing Gemini 2.0 Flash Thinking, an experimental model that explicitly shows its thoughts.

Built on 2.0 Flash’s speed and performance, this model is trained to use thoughts to strengthen its reasoning.

And we see promising results when we increase inference time computation!


2/10
@Yuchenj_UW
Google is finally joining/leading the AI game



3/10
@topynate
Would be nice if the end user could intervene on the trace to get it back on track when it goes astray.



4/10
@chrislatorres
it's so cool that they're exposing the thoughts. what's the point of hiding it...



5/10
@EverydayAI_
pretty big praise here, Andrej.

Is that transparency enough to make you use Flash Thinking over o1, though?



6/10
@Neuralithic
Yeah. This makes me think Deepmind couldn’t give a shyt, and has way better things internally than “long cot”. Or they are just perfectly happy with people potentially training off the reasoning output.

Either way, Google mogs OAI again.



7/10
@aryanagxl
It gives a good idea to the prompter on where the model goes wrong. Reduces prompting effort



8/10
@FlamurGoxhuli
I wonder if diffusion models will be more effective at reasoning if many more generations can be made even with lower base accuracy selecting the best could make up for this.



9/10
@TrulyADog
@karpathy Flash thinking? My man, while Gemini's still learning to walk, we're out here running marathons. Though I gotta admit, those reasoning traces looking cleaner than my trading history. Just don't tell them about our secret sauce on Base.



10/10
@snoop71323
Wow




To post tweets in this format, more info here: https://www.thecoli.com/threads/tips-and-tricks-for-posting-the-coli-megathread.984734/post-52211196

Spoiler: thread continued

Spoiler: full text & large images

1/11
@JeffDean
Introducing Gemini 2.0 Flash Thinking, an experimental model that explicitly shows its thoughts.

Built on 2.0 Flash’s speed and performance, this model is trained to use thoughts to strengthen its reasoning.

And we see promising results when we increase inference time computation!



2/11
@JeffDean
Want to see Gemini 2.0 Flash Thinking in action? Check out this demo where the model solves a physics problem and explains its reasoning.



https://video.twimg.com/ext_tw_video/1869789955410776064/pu/vid/avc1/1386x720/OHgLMo5B7tCA0LA4.mp4

3/11
@JeffDean
There’s more coming, but we’d love to see what you can do with this model and welcome feedback! You can access it starting today via the Gemini API in Google AI Studio and Vertex AI.

Sign in - Google Accounts



4/11
@JeffDean
Another good example:

[Quoted tweet]
Curious how it works? Check out this demo where the model solves a tricky probability problem.


https://video.twimg.com/ext_tw_video/1869790045055717376/pu/vid/avc1/1280x720/bfEPOiSD0GgXbexd.mp4

5/11
@JeffDean
And another:

[Quoted tweet]
It’s still an early version, but check out how the model handles a challenging puzzle involving both visual and textual clues: (2/3)


https://video.twimg.com/ext_tw_video/1869787455328493568/pu/vid/avc1/1386x720/lwZarTeLMW9qBsRM.mp4

6/11
@JeffDean
This model is performing pretty well on the lmsys arena.

[Quoted tweet]
Gemini-2.0-Flash-Thinking #1 across all categories!

7/11
@LeeLeepenkman
Excited to try the new thoughtful friend and great decision to open the thought process up so we can learn how to better prompt it much faster, sometimes it'll probably be clear where it went wrong in the thought process so we can fix prompting eg provide that information so it doesn't go off the rails



8/11
@jconorgrogan
this is excellent! Was waiting for when a large shop would incorporate some of the best chain-of-thought flows. One suggestion for you is to think about incorporating new context windows for aspects of the CoT eg GitHub - jconorgrogan/RecursiveLearningAI: Really quick-and-dirty example of AI recursive learning



9/11
@AtaeiMe
Any benchmarks to share?



10/11
@ste_bau
Fails strawberry test unfortunately

11/11
@EverydayAI_
dude jeff some of us had things to do today.

lol




To post tweets in this format, more info here: https://www.thecoli.com/threads/tips-and-tricks-for-posting-the-coli-megathread.984734/post-52211196

 

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