Here’s how it works. Hugging Face is a leading AI platform known for its open source tools and model repositories. Originally created as a chatbot company, it pivoted to focus on machine ...

Cybersecurity researchers have uncovered two malicious machine learning (ML) models on Hugging Face that leveraged an unusual technique of "broken" pickle files to evade detection. "The pickle files ...

While Hugging Face supports machine learning (ML) models in various formats, Pickle is among the most prevalent thanks to the popularity of PyTorch, a widely used ML library written in Python that ...

Similar to Gemini and OpenAI’s implementation, “Open Deep Research” adds an “agent” framework to an already existing AI model, allowing it to perform multi-step tasks like collecting information and ...

Small language models (SLMs) are gaining popularity due to their minimal carbon footprint and low computing requirements. The latest to join the bandwagon is SmolLM2 by Hugging Face. SmolLM2 is ...

The malicious code in these ML models is called “nullifAl” Hugging Face has removed the ML models after it was reported The malicious ML models were stored in PyTorch format ...

Hugging Face has launched the integration of four serverless inference providers Fal, Replicate, SambaNova, and Together AI, directly into its model pages. These providers are also integrated into Hug ...

Hackers have found ways to hide malicious code in AI models hosted on the Hugging Face platform, ReversingLabs researchers warn. At least two machine-learning models containing malicious code have ...

The new SmolVLM models are available in 256M and 500M parameter sizes SmolVLM can analyse images and process visual information at high speeds The open-source models are available with an Apache 2.0 ...

Learn More Hugging Face and Physical Intelligence have quietly launched Pi0 (Pi-Zero) this week, the first foundational model for robots ... The ability to control robots through natural language ...

After only a day's work, Hugging Face's Open Deep Research has reached 55.15 percent accuracy on the General AI Assistants (GAIA) benchmark, which tests an AI model's ability to gather and ...