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Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready
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Hugging Face BlogOpen Source
Welcome Le Chonk: Mistral Large 4 on Hugging Face
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NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt
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Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox
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NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required
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How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
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FairStress: A deeper evaluation of fairness in LLM decision-making
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Hugging Face ❤️ TorchTPU: TPUs, Natively
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Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline
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Run fast, private agents on-device with LFM2.5-24B-A2B
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Impactful scheduling for GPU clusters
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One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO
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Falcon-Emirati: When an LLM Learns the Dialect, the Culture, and the Nuance
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The Agent Said It Was Done. The Database Disagreed.
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AutoSynthData: Generating Training Data for Enterprise Agents
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Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs
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NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction
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Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents
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Holo4: powering generalist computer-use agents
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How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows
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**Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization**
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Transformers now runs llama.cpp quants
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Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
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Your Agent Aced the Task. Will It Do It Again?
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Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps
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Give Your Coding Agents a Memory You Own
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Training a coding model to paint watercolours with TRL and OpenEnv
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BenchMIRT: What are LLM benchmarks actually measuring?
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Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI
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Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
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Wire It, Run It, Deploy It: AI Workflows in Gradio
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How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code
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Up to 3.2x Faster Inference with LFM2.5-DSpark
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How Much Memory Does Your Agent Actually Need?
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Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers
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Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets
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Hugging Face BlogOpen Source
Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS
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Meta is back with Muse Glimmer: local, agentic, multimodal, and open source
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TutorMoments: Do AI tutors know when to help and when to hold back?
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Baseten on Hugging Face Inference Providers 🔥
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