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.
This introduces a way to connect AI agents directly to research tools such as arXiv and GitHub using the Model Context Protocol (MCP).
Hugging Face has released the kernel-builder library, which supports everything from developing to deploying custom CUDA kernels.
Hugging Face's Accelerate library has launched ND-Parallel, a feature that supports efficient multi-GPU training by combining various parallelization strategies.
Hugging Face has launched AI Sheets, a no-code tool that lets you build and transform datasets using open models.
HuggingFace's TRL library now supports the latest alignment techniques such as MPO and GRPO for VLMs.
Gradio's MCP integration feature automatically converts Python functions into LLM tools, enabling the construction of AI agents.
Hugging Face has unveiled Trackio, a lightweight experiment tracking library that can be used as a drop-in replacement for wandb.
Parquet CDC functionality has been added to PyArrow and Pandas, improving data transfer and storage efficiency on the Hugging Face Hub.
Hugging Face has released a new CLI called `hf` with a redesigned command structure, along with `hf jobs`, a serverless job execution service.
TimeScope, an open-source benchmark for measuring temporal understanding of long videos, has been released.
NVIDIA NIM enables fast and stable deployment of over 100,000 LLMs from Hugging Face.
Gradio has improved file uploads, real-time progress notifications, OpenAPI integration, and authentication features for MCP servers.
It proposes FutureBench, a new benchmark that evaluates AI agents' ability to predict future events.
Hugging Face has switched the Hub repository backend from Git LFS to Xet to handle large-scale AI workloads.
Hugging Face has unveiled an official MCP server that enhances AI assistants' access to the Hub.
By using asynchronous inference that separates action prediction from execution, robot control latency is reduced and task speed is doubled.
With Gradio now supporting the MCP protocol, Hugging Face Spaces can be used as tools for LLMs.
Hugging Face and AMD collaborated to release custom kernels specifically for MI300X that maximize the performance of Llama 3.1 405B.
Hugging Face and Pollen Robotics collaborated to launch 'Reachy Mini,' an affordable open-source AI robot.
HuggingFace has unveiled SmolLM3, which delivers outstanding performance at the 3B scale and supports a 128k long context.
Upstage's latest LLM surpassed GPT-3.5 to rank No. 1 worldwide on the HuggingFace leaderboard.
A detailed guide on training and fine-tuning Sparse Embedding models using the Sentence Transformers library.
SGLang now supports the Transformers backend, enabling high-performance inference for any Transformers-compatible model.
Groq's LPU-based ultra-fast inference service is now directly available on the Hugging Face Hub.