A group of developers at Hugging Face say that they've built an 'open' version of OpenAI's deep research tool.

Hugging Face Inc. today open-sourced SmolVLM-256M, a new vision language model with the lowest parameter count in its ...

The model ranks well on main app stores and connects with DeepSeek's AI helper. High demand means that registration is only ...

Now, 50,000 organizations, including Google and Microsoft, store models and data sets on Hugging Face. The company positions itself as the industry's Switzerland, a neutral platform available to ...

The nonprofit AI safety org MLCommons has teamed up with Hugging Face to release a public domain dataset of speech recordings ...

DeepSeek’s R1 model is reshaping the AI landscape, driving Meta’s Llama and the rise of open-source alternatives.

The initiative comes after R1 stunned the artificial intelligence community by matching the performance of the most capable models built by U.S. firms, despite being built at a fraction of the cost.

A team at AI dev platform Hugging Face has released what they're claiming are the smallest AI models that can analyze images, short videos, and text. The models, SmolVLM-256M and SmolVLM-500M ...

Hugging Face's new SmolVLM models run on smartphones, outperform larger systems and slash computing costs by 300X.

While DeepSeek-R1 model weights are available in the public domain, the datasets and code used to train the model are not.