Hugging Face Headlines
Latest news and coverage for Hugging Face
Recent Headlines
13 headlinesMarkTechPost
Hugging Face Releases ml-intern: An Open-Source AI Agent that Automates the LLM Post-Training Workflow - MarkTechPost
Hugging Face released ml-intern, an open-source AI agent that automates LLM post-training workflows, including literature review, dataset discovery, training runs, evaluation, and iteration. The article details its integration with Hugging Face tools such as smolagents, Jobs, and Trackio.
Hugging Face Blog
AI and the Future of Cybersecurity: Why Openness Matters
Margaret Mitchell, Yacine Jernite, and a team of researchers at Hugging Face weigh in on what AI is doing to cybersecurity in light of Claude Mythos. They argue that, contrary to what many believe, open source brings about systems that are more secure and less vulnerable to attack.
Forbes
Open Source AI Is Moving From Sideshow To Strategy
Forbes reports that Hugging Face's network has grown to 13 million users, with more than 1.5 million models hosted on the platform, as open source AI moves from a sideshow to a core enterprise strategy.
PR Newswire
Novita AI Joins Hugging Face as Official Inference Partner
Novita AI and Hugging Face announced a strategic partnership making Novita an official inference partner for Hugging Face developers. The partnership introduces a “Deploy on Novita” experience for deploying models from Hugging Face as production-ready APIs.
Hugging Face Blog
Safetensors is Joining the PyTorch Foundation
Hugging Face announced that its Safetensors project has joined the PyTorch Foundation, becoming a foundation-hosted project under the Linux Foundation. This move aims to ensure vendor-neutral governance and broader community involvement for Safetensors.
MarkTechPost
Hugging Face Releases TRL v1.0: A Unified Post-Training Stack for SFT, Reward Modeling, DPO, and GRPO Workflows
Hugging Face has officially released TRL (Transformer Reinforcement Learning) v1.0, a production-ready framework that standardizes the post-training pipeline for AI models.
AI Business
Hugging Face Acquires AI Software Startup to Boost Datasets
Hugging Face has acquired Argilla in a $10 million deal to boost its datasets. Argilla, founded in 2017, developed a collaboration platform for AI engineers to improve data for NLP applications.
Hugging Face Blog
State of Open Source on Hugging Face: Spring 2026
Hugging Face's Spring 2026 report analyzes the evolving open-source AI landscape, highlighting the platform's growth to 11 million users and over 2 million public models, and discussing shifts in competition, geography, and technical trends.
Hugging Face Blog
Introducing Storage Buckets on the Hugging Face Hub
Hugging Face has announced the introduction of Storage Buckets on its platform. This new feature allows users to store various types of data, such as datasets, models, and other files, directly on the Hugging Face Hub. It aims to provide a more integrated and efficient way for machine learning practitioners to manage their project assets.
TechCrunch
DeepSeek updates its R1 reasoning AI model, releases it on Hugging Face
The article from TechCrunch mentions DeepSeek updates its R1 reasoning AI model, releases it on Hugging Face. It likely covers aspects related to the company's activities or impact.
The New Stack
OpenMDW Is a New Permissive License for AI Models
This article from The New Stack discusses OpenMDW Is a New Permissive License for AI Models. It offers insights and perspectives on the topic.
InfoWorld
Open source projects, particularly in AI and machine learning, are driving industry trends and innovation based on GitHub data analysis.
This news and views piece from InfoWorld explores current trends and perspectives related to article 3965544. The article offers an in-depth look at the topic, providing analysis and commentary.
Argilla Blog
Argilla joins Hugging Face
Argilla announced on June 13, 2024, that it has joined Hugging Face. This strategic move is expected to integrate Argilla's capabilities with Hugging Face's platform, fostering advancements in natural language processing and machine learning. The collaboration aims to enhance tools and resources available to the AI community.
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