AI Briefing#huggingface
The latest AI and developer news about #huggingface, with the original source and a short summary.
The latest AI and developer news about #huggingface, with the original source and a short summary.
Hugging Face now supports Featherless AI, a serverless inference service, as a new Inference Provider.
Hugging Face has unveiled Kernel Hub, which lets developers easily load optimized compute kernels to boost model performance.
Hugging Face and NVIDIA have launched a GPU cluster rental service for researchers.
ScreenSuite, an integrated benchmark suite for evaluating GUI agent performance from multiple angles, has been launched.
TRL has integrated vLLM into the training process, reducing GPU resource waste and improving GRPO training efficiency.
SmolVLA, an open-source 450M-scale robotics VLA model that can run on consumer hardware, has been released.
It presents a method of combining CodeAgent with structured JSON output to enhance the reasoning and execution reliability of agents.
Liger Kernel has been integrated into TRL, reducing memory usage by 40% during GRPO training.
Hugging Face has released Tiny Agents for Python, which supports the MCP protocol for easy tool use.
Dell and Hugging Face have unveiled a new version of Dell Enterprise Hub for on-premises AI deployment.
Hugging Face has released nanoVLM, a lightweight toolkit that lets even beginners easily train Vision Language Models.
This analyzes the performance and memory efficiency of the various quantization backends supported by Hugging Face Diffusers using the Flux model.
Furiosa released SDK 2025.2 for RNGD, strengthening reasoning model support and Hugging Face integration.
Microsoft and Hugging Face have expanded their partnership, making it easy to deploy over 10,000 open models on Azure AI Foundry.
HuggingFace has announced a roadmap to establish the Transformers library as the model definition standard across the entire AI ecosystem.
Hugging Face and Kaggle are strengthening model discovery and ease of use through platform integration.
Hugging Face has launched an Inference Endpoints option that boosts Whisper transcription performance by up to 8x using vLLM.
Hugging Face is building a community-driven LeRobot dataset ecosystem to secure generalization for robots.
Qwen-3's new chat template improves model control efficiency through optional reasoning and dynamic context management.
This introduces a way to implement an ultra-lightweight AI agent in just 50 lines of code using MCP.
Cohere's major LLM and multimodal models are now available for serverless inference on the Hugging Face Hub.
Gradio is a framework for interacting with ML models, featuring automatic API generation, SSR, and queue management.
Hugging Face and Protect AI collaborated to scan 4.47 million models and detect over 350,000 security threats.
Hugging Face is entering the open-source robotics market in earnest by acquiring Pollen Robotics.