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  2. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    The Hugging Face Hub is a platform (centralized web service) for hosting: [20] 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;

  3. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_models

    Large collaboration led by Hugging Face: 175 [50] 350 billion tokens (1.6TB) [51] Responsible AI Essentially GPT-3 but trained on a multi-lingual corpus (30% English excluding programming languages) Galactica: November 2022: Meta: 120: 106 billion tokens [52] unknown: CC-BY-NC-4.0 Trained on scientific text and modalities. AlexaTM (Teacher ...

  4. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    Hugging Face's transformers library can manipulate large language models. [4] Jupyter Notebooks can execute cells of Python code, retaining the context between the execution of cells, which usually facilitates interactive data exploration. [5] Elixir is a high-level functional programming language based on the Erlang VM. Its machine-learning ...

  5. Mistral AI - Wikipedia

    en.wikipedia.org/wiki/Mistral_AI

    Mistral 7B is a 7.3B parameter language model using the transformers architecture. It was officially released on September 27, 2023, via a BitTorrent magnet link, [38] and Hugging Face [39] under the Apache 2.0 license. Mistral 7B employs grouped-query attention (GQA), which is a variant of the standard attention mechanism.

  6. GPT-4o - Wikipedia

    en.wikipedia.org/wiki/GPT-4o

    [6] [7] GPT-4o scored 88.7 on the Massive Multitask Language Understanding benchmark compared to 86.5 for GPT-4. [8] Unlike GPT-3.5 and GPT-4, which rely on other models to process sound, GPT-4o natively supports voice-to-voice. [8] The Advanced Voice Mode was delayed and finally released to ChatGPT Plus and Team subscribers in September 2024. [9]

  7. DBRX - Wikipedia

    en.wikipedia.org/wiki/DBRX

    DBRX is an open-sourced large language model (LLM) developed by Mosaic ML team at Databricks, released on March 27, 2024. [1] [2] [3] It is a mixture-of-experts transformer model, with 132 billion parameters in total. 36 billion parameters (4 out of 16 experts) are active for each token. [4]

  8. BLOOM (language model) - Wikipedia

    en.wikipedia.org/wiki/BLOOM_(language_model)

    [4] [5] BLOOM is the main outcome of the BigScience collaborative initiative, [ 6 ] a one-year-long research workshop that took place between May 2021 and May 2022. BigScience was led by HuggingFace and involved several hundreds of researchers and engineers from France and abroad representing both the academia and the private sector.

  9. GPT-J - Wikipedia

    en.wikipedia.org/wiki/GPT-J

    GPT-J or GPT-J-6B is an open-source large language model (LLM) developed by EleutherAI in 2021. [1] As the name suggests, it is a generative pre-trained transformer model designed to produce human-like text that continues from a prompt.