Hugging Face launches Idefics2 vision-language model

Hugging Face has announced the release of Idefics2, a versatile model capable of understanding and generating text responses based on both images and texts. The model sets a new benchmark for answering visual questions, describing visual content, story creation from images, document information extraction, and even performing arithmetic operations based on visual input.

Idefics2 leapfrogs its predecessor, Idefics1, with just eight billion parameters and the versatility afforded by...

Hugging Face is launching an open robotics project

Hugging Face, the startup behind the popular open source machine learning codebase and ChatGPT rival Hugging Chat, is venturing into new territory with the launch of an open robotics project.

The ambitious expansion was announced by former Tesla staff scientist Remi Cadene in a post on X:

https://twitter.com/RemiCadene/status/1765715921388056904

In keeping with Hugging Face's ethos of open source, Cadene stated the robot project would be "open-source, not as in Open...

DeepMind framework offers breakthrough in LLMs’ reasoning

A breakthrough approach in enhancing the reasoning abilities of large language models (LLMs) has been unveiled by researchers from Google DeepMind and the University of Southern California.

Their new 'SELF-DISCOVER' prompting framework – published this week on arXiV and Hugging Face – represents a significant leap beyond existing techniques, potentially revolutionising the performance of leading models such as OpenAI’s GPT-4 and Google’s PaLM 2.

The framework...

IBM and Hugging Face release AI foundation model for climate science

In a bid to democratise access to AI technology for climate science, IBM and Hugging Face have announced the release of the watsonx.ai geospatial foundation model.

The geospatial model, built from NASA's satellite data, will be the largest of its kind on Hugging Face and marks the first-ever open-source AI foundation model developed in collaboration with NASA.

Jeff Boudier, head of product and growth at Hugging Face, highlighted the importance of information sharing and...

Mithril Security demos LLM supply chain ‘poisoning’

Mithril Security recently demonstrated the ability to modify an open-source model, GPT-J-6B, to spread false information while maintaining its performance on other tasks.

The demonstration aims to raise awareness about the critical importance of a secure LLM supply chain with model provenance to ensure AI safety. Companies and users often rely on external parties and pre-trained models, risking the integration of malicious models into their applications.

This situation...