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The Hugging Face Hub is a platform (centralized web service) for hosting: [18] Git-based code repositories, including discussions and pull requests for projects. models, also with Git-based version control; datasets, mainly in text, images, and audio;
The arrangement will allow developers using Google Cloud's technical infrastructure to access and deploy Hugging Face's repository of open source AI software, such as models and data sets. Hugging ...
Watsonx.ai is a platform that allows AI developers to leverage a wide range of LLMs under IBM's own Granite series and others such as Facebook's LLaMA-2, free and open-source model Mistral and many others present in Hugging Face community for a diverse set of AI development tasks.
Interestingly, Wolf also told me Hugging Face is bucking a trend among AI companies: It's cashflow positive. (The company makes money on consulting projects and by selling tools for enterprise ...
EleutherAI (/ ə ˈ l uː θ ər / [2]) is a grass-roots non-profit artificial intelligence (AI) research group. The group, considered an open-source version of OpenAI, [3] was formed in a Discord server in July 2020 by Connor Leahy, Sid Black, and Leo Gao [4] to organize a replication of GPT-3.
Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [ 3 ]
Llama (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of large language models (LLMs) released by Meta AI starting in February 2023. [2] [3] The latest version is Llama 3.3, released in December 2024. [4] Llama models are trained at different parameter sizes, ranging between 1B and 405B. [5]