Quanto: a PyTorch quantization backend for Optimum
Quanto is an open-source PyTorch quantization backend developed by the Hugging Face team. It aims to simplify and optimize model quantization, a proce...
Quanto is an open-source PyTorch quantization backend developed by the Hugging Face team. It aims to simplify and optimize model quantization, a proce...
Researchers from Hugging Face, Intel, and the University of California, Berkeley, have developed a method to optimize embeddings for CPU processing. E...
Researchers have created a dataset called WebSight, which contains over 10 million web pages' screenshots and corresponding HTML code. This allows for...
Healthify, a company that provides personalized health coaching, has partnered with OpenAI to use AI technology for sustainable weight loss. The colla...
OpenAI has formed partnerships with Le Monde and Prisa Media, two major international news organizations. The partnership will allow users of the chat...
OpenAI has announced the addition of three new members to its board of directors: Dr. Sue Desmond-Hellmann, a former executive at the Bill and Melinda...
OpenAI has completed its review of its leadership and governance. Sam Altman and Greg Brockman will continue to lead the company, with new board membe...
Paradigm, a company that uses artificial intelligence to help patients find and enroll in clinical trials, leverages OpenAI's API to streamline this p...
Match Group, the parent company of dating apps like Tinder and OkCupid, is using ChatGPT Enterprise to boost productivity. The AI tool is designed to ...
OpenAI's Lifespan model, which is based on the GPT-4 language generator, aims to improve health literacy by providing patients with clear and accurate...
OpenAI, a company focused on developing artificial intelligence safely and beneficially, has stated its dedication to its mission. The company's state...
ConTextual is a new benchmark for multimodal models that can jointly reason over text and images. The leaderboard, hosted by Hugging Face, tests how w...