Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models…
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NVIDIA Introduces ProRL: Long-Horizon Reinforcement Learning Boosts Reasoning and Generalization
Recent advances in reasoning-focused language models have marked a major change in AI by scaling test-time computation. Reinforcement learning (RL)…
Lees meerH Company Releases Runner H Public Beta Alongside Holo-1 and Tester H for Developers
The idea behind Agentic AI is that many small, task-focused agents can cooperate to finish real work; however, this particular…
Lees meerMistral AI Introduces Mistral Code: A Customizable AI Coding Assistant for Enterprise Workflows
Mistral AI announced the release of Mistral Code, an AI-powered coding assistant tailored for enterprise software development environments. This release…
Lees meerLifelongAgentBench: A Benchmark for Evaluating Continuous Learning in LLM-Based Agents
Lifelong learning is crucial for intelligent agents navigating ever-changing environments, yet current LLM-based agents fall short—they lack memory and treat…
Lees meerNVIDIA AI Releases Llama Nemotron Nano VL: A Compact Vision-Language Model Optimized for Document Understanding
NVIDIA has introduced Llama Nemotron Nano VL, a vision-language model (VLM) designed to address document-level understanding tasks with efficiency and…
Lees meerA Coding Implementation to Build an Advanced Web Intelligence Agent with Tavily and Gemini AI
In this tutorial, we introduce an advanced, interactive web intelligence agent powered by Tavily and Google’s Gemini AI. We’ll learn…
Lees meerOpenAI Introduces Four Key Updates to Its AI Agent Framework
OpenAI has announced a set of targeted updates to its AI agent development stack, aimed at expanding platform compatibility, improving…
Lees meerHugging Face Releases SmolVLA: A Compact Vision-Language-Action Model for Affordable and Efficient Robotics
Despite recent progress in robotic control via large-scale vision-language-action (VLA) models, real-world deployment remains constrained by hardware and data requirements.…
Lees meerFrom Exploration Collapse to Predictable Limits: Shanghai AI Lab Proposes Entropy-Based Scaling Laws for Reinforcement Learning in LLMs
Recent advances in reasoning-centric large language models (LLMs) have expanded the scope of reinforcement learning (RL) beyond narrow, task-specific applications,…
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