Chain-of-thought (CoT) prompting has become a popular method for improving and interpreting the reasoning processes of large language models (LLMs).…
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Omni-R1: Advancing Audio Question Answering with Text-Driven Reinforcement Learning and Auto-Generated Data
Recent developments have shown that RL can significantly enhance the reasoning abilities of LLMs. Building on this progress, the study…
Lees meerThis AI Paper from Microsoft Introduces a DiskANN-Integrated System: A Cost-Effective and Low-Latency Vector Search Using Azure Cosmos DB
The ability to search high-dimensional vector representations has become a core requirement for modern data systems. These vector representations, generated…
Lees meerCritical Security Vulnerabilities in the Model Context Protocol (MCP): How Malicious Tools and Deceptive Contexts Exploit AI Agents
The Model Context Protocol (MCP) represents a powerful paradigm shift in how large language models interact with tools, services, and…
Lees meerReinforcement Learning Makes LLMs Search-Savvy: Ant Group Researchers Introduce SEM to Optimize Tool Usage and Reasoning Efficiency
Recent progress in LLMs has shown their potential in performing complex reasoning tasks and effectively using external tools like search…
Lees meerLLMs Struggle to Act on What They Know: Google DeepMind Researchers Use Reinforcement Learning Fine-Tuning to Bridge the Knowing-Doing Gap
Language models trained on vast internet-scale datasets have become prominent language understanding and generation tools. Their potential extends beyond language…
Lees meerHow to Build a Powerful and Intelligent Question-Answering System by Using Tavily Search API, Chroma, Google Gemini LLMs, and the LangChain Framework
In this tutorial, we demonstrate how to build a powerful and intelligent question-answering system by combining the strengths of Tavily…
Lees meerSWE-Bench Performance Reaches 50.8% Without Tool Use: A Case for Monolithic State-in-Context Agents
Recent advancements in LM agents have shown promising potential for automating intricate real-world tasks. These agents typically operate by proposing…
Lees meerAWS Open-Sources Strands Agents SDK to Simplify AI Agent Development
Amazon Web Services (AWS) has open-sourced its Strands Agents SDK, aiming to make the development of AI agents more accessible…
Lees meerGoogle Researchers Introduce LightLab: A Diffusion-Based AI Method for Physically Plausible, Fine-Grained Light Control in Single Images
Manipulating lighting conditions in images post-capture is challenging. Traditional approaches rely on 3D graphics methods that reconstruct scene geometry and…
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