AI, Inference Engine and Webinar - Artificial Intelligence Zone

Mistral AI Introduces Les Ministraux: Ministral 3B and Ministral 8B- Revolutionizing On-Device AI

Marktechpost

OCTOBER 16, 2024

High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. Introducing Ministral 3B and Ministral 8B Mistral AI recently unveiled two groundbreaking models aimed at transforming on-device and edge AI capabilities—Ministral 3B and Ministral 8B.

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Meta AI Releases Meta’s Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

Marktechpost

OCTOBER 20, 2024

While AI has emerged as a powerful tool for materials discovery, the lack of publicly available data and open, pre-trained models has become a major bottleneck. The introduction of the OMat24 dataset and the corresponding models represents a significant leap forward in AI-assisted materials science.

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Together AI Unveils Revolutionary Inference Stack: Setting New Standards in Generative AI Performance

Marktechpost

JULY 20, 2024

Together AI has unveiled a groundbreaking advancement in AI inference with its new inference stack. This stack, which boasts a decoding throughput four times faster than the open-source vLLM, surpasses leading commercial solutions like Amazon Bedrock, Azure AI, Fireworks, and Octo AI by 1.3x

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Webinars

Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

The New Frontier: A Guide to Monetizing AI Offerings

Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Dont Let AI Pass You By: The New Era of Personalized Sales Coaching & Development

Improving the Accuracy of Generative AI Systems: A Structured Approach

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Graph-Constrained Reasoning (GCR): A Novel AI Framework that Bridges Structured Knowledge in Knowledge Graphs with Unstructured Reasoning in LLMs

Marktechpost

OCTOBER 18, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Graph-Constrained Reasoning (GCR): A Novel AI Framework that Bridges Structured Knowledge in Knowledge Graphs with Unstructured Reasoning in LLMs appeared first on MarkTechPost.

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MEGA-Bench: A Comprehensive AI Benchmark that Scales Multimodal Evaluation to Over 500 Real-World Tasks at a Manageable Inference Cost

Marktechpost

OCTOBER 15, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post MEGA-Bench: A Comprehensive AI Benchmark that Scales Multimodal Evaluation to Over 500 Real-World Tasks at a Manageable Inference Cost appeared first on MarkTechPost.

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This AI Paper from Meta AI Highlights the Risks of Using Synthetic Data to Train Large Language Models

Marktechpost

OCTOBER 16, 2024

The results are particularly concerning given the increasing reliance on synthetic data in large-scale AI systems. Although there are situations where increasing model size may slightly mitigate the collapse, it does not entirely prevent the problem. If you like our work, you will love our newsletter.

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Stanford Researchers Propose LoLCATS: A Cutting Edge AI Method for Efficient LLM Linearization

Marktechpost

OCTOBER 14, 2024

Researchers from Stanford University, Together AI, California Institute of Technology, and MIT introduced LoLCATS (Low-rank Linear Conversion via Attention Transfer). LoLCATS is a two-step method designed to efficiently improve the quality of linearized large language models without the need for expensive retraining on billions of tokens.

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This AI Paper Propsoes an AI Framework to Prevent Adversarial Attacks on Mobile Vehicle-to-Microgrid Services

Marktechpost

OCTOBER 17, 2024

AI is crucial in optimizing energy distribution, forecasting demand, and managing real-time interactions between vehicles and the microgrid. In conclusion, the proposed AI-based countermeasure utilizing GANs offers a promising approach to enhance the security of Mobile V2M services against adversarial attacks.

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IoT-LLM: An AI Framework that Integrates IoT Sensor Data with LLMs to Enhance their Perception and Reasoning Abilities in the Physical World

Marktechpost

OCTOBER 17, 2024

Rule-based systems, traditional machine learning models, and basic AI-driven methods are conventional models for processing IoT data. MARS Lab, NTU has devised an innovative IoT-LLM framework that combats the limitations of the LLM in handling real-world tasks. If you like our work, you will love our newsletter.

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Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise

Marktechpost

OCTOBER 16, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise appeared first on MarkTechPost.

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Google AI Introduces Gemma-APS: A Collection of Gemma Models for Text-to-Propositions Segmentation

Marktechpost

OCTOBER 15, 2024

Google AI Releases Gemma-APS, a collection of Gemma models for text-to-propositions segmentation. With this release, Google AI is hoping to make text segmentation more accessible, with models optimized to run on varied computational resources. If you like our work, you will love our newsletter.

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Salesforce AI Introduces ReGenesis: A Novel AI Approach to Improving Large Language Model Reasoning Capabilities

Marktechpost

OCTOBER 18, 2024

Researchers in AI are working to enable these models to perform not just language understanding but also complex reasoning tasks like problem-solving in mathematics, logic, and general knowledge. This gap in performance across varied tasks presents a barrier to creating adaptable, general-purpose AI systems. Check out the Paper.

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Simular Research Introduces Agent S: An Open-Source AI Framework Designed to Interact Autonomously with Computers through a Graphical User Interface

Marktechpost

OCTOBER 14, 2024

This framework aims to transform human-computer interaction by enabling AI agents to use the mouse and keyboard as humans would to complete complex tasks. Simular Research introduces Agent S, an open agentic framework designed to use computers like a human, specifically through autonomous interaction with GUIs.

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The Open-Source Release of OpenPerplex.com: An AI-Powered Search Engine

Marktechpost

AUGUST 5, 2024

Additionally, many of these search engines are not open-source, limiting the ability for broader community involvement and innovation. Introducing OpenPerPlex OpenPerPlex is an open-source AI-powered search engine designed to tackle these challenges head-on. OpenPerPlex’s effectiveness is driven by its robust tech stack.

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Katanemo Open Sources Arch-Function: A Set of Large Language Models (LLMs) Promising Ultra-Fast Speeds at Function-Calling Tasks for Agentic Workflows

Marktechpost

OCTOBER 17, 2024

Katanemo has open-sourced Arch-Function , making scalable agentic AI accessible to developers, data scientists, and enterprises. By open-sourcing this tool, Katanemo enables the global AI community to contribute and adopt its capabilities. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

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This AI Paper Explores If Human Visual Perception can Help Computer Vision Models Outperform in Generalized Tasks

Marktechpost

OCTOBER 19, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post This AI Paper Explores If Human Visual Perception can Help Computer Vision Models Outperform in Generalized Tasks appeared first on MarkTechPost.

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IBM Releases Granite 3.0 2B and 8B AI Models for AI Enterprises

Marktechpost

OCTOBER 21, 2024

Artificial intelligence is advancing rapidly, but enterprises face many obstacles when trying to leverage AI effectively. Traditional AI models often struggle with delivering such tailored performance, requiring businesses to make a trade-off between customization and general applicability. IBM has officially released Granite 3.0

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Meet TurtleBench: A Unique AI Evaluation System for Evaluating Top Language Models via Real World Yes/No Puzzles

Marktechpost

OCTOBER 16, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Meet TurtleBench: A Unique AI Evaluation System for Evaluating Top Language Models via Real World Yes/No Puzzles appeared first on MarkTechPost.

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Agent-as-a-Judge: An Advanced AI Framework for Scalable and Accurate Evaluation of AI Systems Through Continuous Feedback and Human-level Judgments

Marktechpost

OCTOBER 18, 2024

The lack of effective evaluation methods poses a serious problem for AI research and development. Current evaluation frameworks, such as LLM-as-a-Judge, which uses large language models to judge outputs from other AI systems, must account for the entire task-solving process.

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Harnessing Introspection in AI: How Large Language Models Are Learning to Understand and Predict Their Behavior for Greater Accuracy

Marktechpost

OCTOBER 19, 2024

The researchers from UC San Diego, Stanford University, Truthful AI, MATS Program, Speechmatics, Eleos AI, Anthropic, Scale AI, New York University, UC Berkeley introduced the concept of introspection by testing whether LLMs could outperform other models in predicting their behavior. after training.

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Differentiable Rendering of Robots (Dr. Robot): A Robot Self-Model Differentiable from Its Visual Appearance to Its Control Parameters

Marktechpost

OCTOBER 19, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Differentiable Rendering of Robots (Dr. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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Meta AI Releases LayerSkip: A Novel AI Approach to Accelerate Inference in Large Language Models (LLMs)

Marktechpost

OCTOBER 21, 2024

With the release of LayerSkip, the research community now has access to a practical and effective tool for optimizing LLM inference, potentially paving the way for more accessible AI deployment in real-world applications. Check out the Paper , Model Series on Hugging Face , and GitHub. Don’t Forget to join our 50k+ ML SubReddit.

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A New Study by OpenAI Explores How Users’ Names can Impact ChatGPT’s Responses

Marktechpost

OCTOBER 15, 2024

Bias in AI-powered systems like chatbots remains a persistent challenge, particularly as these models become more integrated into our daily lives. A pressing issue concerns biases that can manifest when chatbots respond differently to users based on name-related demographic indicators, such as gender or race.

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OpenAI Introduces ChatGPT Windows App

Marktechpost

OCTOBER 17, 2024

One of the most significant issues it seeks to solve is the need for quick, seamless access to AI assistance without relying on a web browser. The ChatGPT Windows app delivers a native desktop experience for users, designed to improve interaction with the AI model. Check out the Details here.

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Differentiable Adaptive Merging (DAM): A Novel AI Approach to Model Integration

Marktechpost

OCTOBER 16, 2024

Model merging, particularly within the realm of large language models (LLMs), presents an intriguing challenge that addresses the growing demand for versatile AI systems. Researchers from Arcee AI and Liquid AI propose a novel merging technique called Differentiable Adaptive Merging (DAM). Check out the Paper.

Inference Engine

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MIBench: A Comprehensive AI Benchmark for Model Inversion Attack and Defense

Marktechpost

OCTOBER 14, 2024

Additionally, setting up access controls and limiting how often each user can access the data is important for building responsible AI systems, and reducing potential conflicts with people’s private data. To address this, data users need to apply strong and reliable defense strategies and methods. Check out the Paper.

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Rethinking Direct Alignment: Balancing Likelihood and Diversity for Better Model Performance

Marktechpost

OCTOBER 19, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Rethinking Direct Alignment: Balancing Likelihood and Diversity for Better Model Performance appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Scaling Diffusion transformers (DiT): An AI Framework for Optimizing Text-to-Image Models Across Compute Budgets

Marktechpost

OCTOBER 19, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Scaling Diffusion transformers (DiT): An AI Framework for Optimizing Text-to-Image Models Across Compute Budgets appeared first on MarkTechPost.

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IBM Researchers Introduce ST-WebAgentBench: A New AI Benchmark for Evaluating Safety and Trustworthiness in Web Agents

Marktechpost

OCTOBER 17, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post IBM Researchers Introduce ST-WebAgentBench: A New AI Benchmark for Evaluating Safety and Trustworthiness in Web Agents appeared first on MarkTechPost.

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AFlow: A Novel Artificial Intelligence Framework for Automated Workflow Optimization

Marktechpost

OCTOBER 15, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post AFlow: A Novel Artificial Intelligence Framework for Automated Workflow Optimization appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Understanding Local Rank and Information Compression in Deep Neural Networks

Marktechpost

OCTOBER 18, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Understanding Local Rank and Information Compression in Deep Neural Networks appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Google AI Researchers Introduced a Set of New Methods for Enhancing Long-Context LLM Performance in Retrieval-Augmented Generation

Marktechpost

OCTOBER 16, 2024

Researchers from Google Cloud AI and the University of Illinois introduced innovative methods to improve the robustness and performance of RAG systems when using long-context LLMs. Current approaches must adequately address the risks of introducing misleading or irrelevant information, which can diminish the quality of LLM responses.

LLM

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Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

Marktechpost

OCTOBER 15, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities appeared first on MarkTechPost.

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This AI Paper from Google DeepMind Explores Inference Scaling in Long-Context RAG

Marktechpost

OCTOBER 19, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post This AI Paper from Google DeepMind Explores Inference Scaling in Long-Context RAG appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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JAMUN: A Walk-Jump Sampling Model for Generating Ensembles of Molecular Conformations

Marktechpost

OCTOBER 21, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post JAMUN: A Walk-Jump Sampling Model for Generating Ensembles of Molecular Conformations appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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PyTorch 2.5 Released: Advancing Machine Learning Efficiency and Scalability

Marktechpost

OCTOBER 17, 2024

The PyTorch community has continuously been at the forefront of advancing machine learning frameworks to meet the growing needs of researchers, data scientists, and AI engineers worldwide. These updates help PyTorch stay competitive in the fast-moving field of AI infrastructure. With the latest PyTorch 2.5

Machine Learning

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Emergence of Intelligence in LLMs: The Role of Complexity in Rule-Based Systems

Marktechpost

OCTOBER 18, 2024

Traditionally, AI development has focused on training models using datasets that reflect human intelligence, such as language corpora or expert-annotated data. This method assumes that intelligence can only emerge from exposure to inherently intelligent data. If you like our work, you will love our newsletter.

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From ONNX to Static Embeddings: What Makes Sentence Transformers v3.2.0 a Game-Changer?

Marktechpost

OCTOBER 17, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post From ONNX to Static Embeddings: What Makes Sentence Transformers v3.2.0 Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. a Game-Changer?

Neural Network

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Self-Data Distilled Fine-Tuning: A Solution for Pruning and Supervised Fine-tuning Challenges in LLMs

Marktechpost

OCTOBER 19, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Self-Data Distilled Fine-Tuning: A Solution for Pruning and Supervised Fine-tuning Challenges in LLMs appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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SimLayerKV: An Efficient Solution to KV Cache Challenges in Large Language Models

Marktechpost

OCTOBER 19, 2024

Researchers from Sea AI Lab and Singapore Management University propose SimLayerKV , a novel method aimed at reducing inter-layer KV cache redundancies by selectively dropping the KV cache in identified “lazy” layers. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

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MMed-RAG: A Versatile Multimodal Retrieval-Augmented Generation System Transforming Factual Accuracy in Medical Vision-Language Models Across Multiple Domains

Marktechpost

OCTOBER 19, 2024

AI has significantly impacted healthcare, particularly in disease diagnosis and treatment planning. These advancements position MMed-RAG as a crucial step forward in making AI-assisted medical diagnostics more reliable and trustworthy. Check out the Paper and GitHub. All credit for this research goes to the researchers of this project.

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This Machine Learning Research Discusses How Task Diversity Shortens the In-Context Learning (ICL) Plateau

Marktechpost

OCTOBER 20, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post This Machine Learning Research Discusses How Task Diversity Shortens the In-Context Learning (ICL) Plateau appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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SeedLM: A Post-Training Compression Method that Uses Pseudo-Random Generators to Efficiently Encode and Compress LLM Weights

Marktechpost

OCTOBER 15, 2024

Researchers from Apple and Meta AI introduce SeedLM, a novel approach that aims to overcome the challenges associated with the deployment of large-scale LLMs by providing a data-free compression method. The key problem, therefore, is how to effectively compress LLM weights without sacrificing accuracy or requiring calibration data.

LLM

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Orthrus: A Mamba-based RNA Foundation Model Designed to Push the Boundaries of RNA Property Prediction

Marktechpost

OCTOBER 15, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Orthrus: A Mamba-based RNA Foundation Model Designed to Push the Boundaries of RNA Property Prediction appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Mistral AI Introduces Les Ministraux: Ministral 3B and Ministral 8B- Revolutionizing On-Device AI

Meta AI Releases Meta’s Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

Webinars

Trending Sources

Together AI Unveils Revolutionary Inference Stack: Setting New Standards in Generative AI Performance

Webinars

Graph-Constrained Reasoning (GCR): A Novel AI Framework that Bridges Structured Knowledge in Knowledge Graphs with Unstructured Reasoning in LLMs

MEGA-Bench: A Comprehensive AI Benchmark that Scales Multimodal Evaluation to Over 500 Real-World Tasks at a Manageable Inference Cost

This AI Paper from Meta AI Highlights the Risks of Using Synthetic Data to Train Large Language Models

Stanford Researchers Propose LoLCATS: A Cutting Edge AI Method for Efficient LLM Linearization

This AI Paper Propsoes an AI Framework to Prevent Adversarial Attacks on Mobile Vehicle-to-Microgrid Services

IoT-LLM: An AI Framework that Integrates IoT Sensor Data with LLMs to Enhance their Perception and Reasoning Abilities in the Physical World

Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise

Google AI Introduces Gemma-APS: A Collection of Gemma Models for Text-to-Propositions Segmentation

Salesforce AI Introduces ReGenesis: A Novel AI Approach to Improving Large Language Model Reasoning Capabilities

Simular Research Introduces Agent S: An Open-Source AI Framework Designed to Interact Autonomously with Computers through a Graphical User Interface

The Open-Source Release of OpenPerplex.com: An AI-Powered Search Engine

Katanemo Open Sources Arch-Function: A Set of Large Language Models (LLMs) Promising Ultra-Fast Speeds at Function-Calling Tasks for Agentic Workflows

This AI Paper Explores If Human Visual Perception can Help Computer Vision Models Outperform in Generalized Tasks

IBM Releases Granite 3.0 2B and 8B AI Models for AI Enterprises

Meet TurtleBench: A Unique AI Evaluation System for Evaluating Top Language Models via Real World Yes/No Puzzles

Agent-as-a-Judge: An Advanced AI Framework for Scalable and Accurate Evaluation of AI Systems Through Continuous Feedback and Human-level Judgments

Harnessing Introspection in AI: How Large Language Models Are Learning to Understand and Predict Their Behavior for Greater Accuracy

Differentiable Rendering of Robots (Dr. Robot): A Robot Self-Model Differentiable from Its Visual Appearance to Its Control Parameters

Meta AI Releases LayerSkip: A Novel AI Approach to Accelerate Inference in Large Language Models (LLMs)

A New Study by OpenAI Explores How Users’ Names can Impact ChatGPT’s Responses

OpenAI Introduces ChatGPT Windows App

Differentiable Adaptive Merging (DAM): A Novel AI Approach to Model Integration

MIBench: A Comprehensive AI Benchmark for Model Inversion Attack and Defense

Rethinking Direct Alignment: Balancing Likelihood and Diversity for Better Model Performance

Scaling Diffusion transformers (DiT): An AI Framework for Optimizing Text-to-Image Models Across Compute Budgets

IBM Researchers Introduce ST-WebAgentBench: A New AI Benchmark for Evaluating Safety and Trustworthiness in Web Agents

AFlow: A Novel Artificial Intelligence Framework for Automated Workflow Optimization

Understanding Local Rank and Information Compression in Deep Neural Networks

Google AI Researchers Introduced a Set of New Methods for Enhancing Long-Context LLM Performance in Retrieval-Augmented Generation

Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

This AI Paper from Google DeepMind Explores Inference Scaling in Long-Context RAG

JAMUN: A Walk-Jump Sampling Model for Generating Ensembles of Molecular Conformations

PyTorch 2.5 Released: Advancing Machine Learning Efficiency and Scalability

Emergence of Intelligence in LLMs: The Role of Complexity in Rule-Based Systems

From ONNX to Static Embeddings: What Makes Sentence Transformers v3.2.0 a Game-Changer?

Self-Data Distilled Fine-Tuning: A Solution for Pruning and Supervised Fine-tuning Challenges in LLMs

SimLayerKV: An Efficient Solution to KV Cache Challenges in Large Language Models

MMed-RAG: A Versatile Multimodal Retrieval-Augmented Generation System Transforming Factual Accuracy in Medical Vision-Language Models Across Multiple Domains

This Machine Learning Research Discusses How Task Diversity Shortens the In-Context Learning (ICL) Plateau

SeedLM: A Post-Training Compression Method that Uses Pseudo-Random Generators to Efficiently Encode and Compress LLM Weights

Orthrus: A Mamba-based RNA Foundation Model Designed to Push the Boundaries of RNA Property Prediction

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