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reinforcement-learning,-not-fine-tuning:-nemotron-tool-n1-trains-llms-to-use-tools-with-minimal-supervision-and-maximum-generalization

Reinforcement Learning, Not Fine-Tuning: Nemotron-Tool-N1 Trains LLMs to Use Tools with Minimal Supervision and Maximum Generalization

Source: MarkTechPost Equipping LLMs with external tools or functions has become popular, showing great performance across diverse domains....
May 13, 2025
rl^v:-unifying-reasoning-and-verification-in-language-models-through-value-free-reinforcement-learning

RL^V: Unifying Reasoning and Verification in Language Models through Value-Free Reinforcement Learning

Source: MarkTechPost LLMs have gained outstanding reasoning capabilities through reinforcement learning (RL) on correctness rewards. Modern RL algorithms...
May 13, 2025
openai-releases-healthbench:-an-open-source-benchmark-for-measuring-the-performance-and-safety-of-large-language-models-in-healthcare

OpenAI Releases HealthBench: An Open-Source Benchmark for Measuring the Performance and Safety of Large Language Models in Healthcare

Source: MarkTechPost OpenAI has released HealthBench, an open-source evaluation framework designed to measure the performance and safety of...
May 13, 2025
multimodal-ai-needs-more-than-modality-support:-researchers-propose-general-level-and-general-bench-to-evaluate-true-synergy-in-generalist-models

Multimodal AI Needs More Than Modality Support: Researchers Propose General-Level and General-Bench to Evaluate True Synergy in Generalist Models

Source: MarkTechPost Artificial intelligence has grown beyond language-focused systems, evolving into models capable of processing multiple input types,...
May 13, 2025
a-step-by-step-guide-on-building,-customizing,-and-publishing-an-ai-focused-blogging-website-with-lovable.dev-and-seamless-github-integration

A Step-by-Step Guide on Building, Customizing, and Publishing an AI-Focused Blogging Website with Lovable.dev and Seamless GitHub Integration

Source: MarkTechPost In this tutorial, we will guide you step-by-step through creating and publishing a sleek, modern AI...
May 13, 2025
offline-video-llms-can-now-understand-real-time-streams:-apple-researchers-introduce-streambridge-to-enable-multi-turn-and-proactive-video-understanding

Offline Video-LLMs Can Now Understand Real-Time Streams: Apple Researchers Introduce StreamBridge to Enable Multi-Turn and Proactive Video Understanding

Source: MarkTechPost Video-LLMs process whole pre-recorded videos at once. However, applications like robotics and autonomous driving need causal...
May 13, 2025
primeintellect-releases-intellect-2:-a-32b-reasoning-model-trained-via-distributed-asynchronous-reinforcement-learning

PrimeIntellect Releases INTELLECT-2: A 32B Reasoning Model Trained via Distributed Asynchronous Reinforcement Learning

Source: MarkTechPost As language models scale in parameter count and reasoning complexity, traditional centralized training pipelines face increasing...
May 12, 2025
ag-ui-(agent-user-interaction-protocol):-an-open,-lightweight,-event-based-protocol-that-standardizes how-ai-agents-connect-to-front-end-applications

AG-UI (Agent-User Interaction Protocol): An Open, Lightweight, Event-based Protocol that Standardizes How AI Agents Connect to Front-End Applications

Source: MarkTechPost The current generation of AI agents has made significant progress in automating backend tasks such as...
May 12, 2025
nvidia-ai-introduces-audio-sds:-a-unified-diffusion-based-framework-for-prompt-guided-audio-synthesis-and-source-separation-without-specialized-datasets

NVIDIA AI Introduces Audio-SDS: A Unified Diffusion-Based Framework for Prompt-Guided Audio Synthesis and Source Separation without Specialized Datasets

Source: MarkTechPost Audio diffusion models have achieved high-quality speech, music, and Foley sound synthesis, yet they predominantly excel...
May 12, 2025
this-ai-paper-introduces-effective-state-size-(ess):-a-metric-to-quantify-memory-utilization-in-sequence-models-for-performance-optimization

This AI Paper Introduces Effective State-Size (ESS): A Metric to Quantify Memory Utilization in Sequence Models for Performance Optimization

Source: MarkTechPost In machine learning, sequence models are designed to process data with temporal structure, such as language,...
May 11, 2025
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