title: h2oGPT: Democratizing Large Language Models
summary: Foundation Large Language Models (LLMs) such as GPT-4 represent a revolution
  in AI due to their real-world applications though natural language processing.
  However, they also pose many significant risks such as the presence of biased,
  private, or harmful text, and the unauthorized inclusion of copyrighted
  material.
    We introduce h2oGPT, a suite of open-source code repositories for the
  creation and use of Large Language Models (LLMs) based on Generative Pretrained
  Transformers (GPTs). The goal of this project is to create the world's best
  truly open-source alternative to closed-source GPTs. In collaboration with and
  as part of the incredible and unstoppable open-source community, we open-source
  several fine-tuned h2oGPT models from 7 to 40 Billion parameters, ready for
  commercial use under fully permissive Apache 2.0 licenses. Included in our
  release is 100% private document search using natural language.
    Open-source language models help boost AI development and make it more
  accessible and trustworthy. They lower entry hurdles, allowing people and
  groups to tailor these models to their needs. This openness increases
  innovation, transparency, and fairness. An open-source strategy is needed to
  share AI benefits fairly, and H2O.ai will continue to democratize AI and LLMs.
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paper_authors.name: Jon McKinney
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paper_authors.name: Philipp Singer
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paper_authors.fullname: Pascal Pfeiffer
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paper_authors.user: ilu000
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paper_authors.name: Maximilian Jeblick
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paper_authors.fullname: Maximilian Jeblick
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paper_authors.user: MaxJeblick
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paper_authors.name: Prithvi Prabhu
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paper_authors.fullname: Prithvi Prabhu
paper_authors.type: user
paper_authors.user: lo5
paper_authors._id: 648bc2ee9f4df9495b861b55
paper_authors.name: Jeff Gambera
paper_authors._id: 648bc2ee9f4df9495b861b56
paper_authors.name: Mark Landry
paper_authors._id: 648bc2ee9f4df9495b861b57
paper_authors.name: Shivam Bansal
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paper_authors.fullname: bansal
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paper_authors.user: shivam-h2o
paper_authors._id: 648bc2ee9f4df9495b861b58
paper_authors.name: Ryan Chesler
paper_authors._id: 648bc2ee9f4df9495b861b59
paper_authors.name: Chun Ming Lee
paper_authors.status: admin_assigned
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paper_authors.fullname: Chun Ming Lee
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paper_authors.user: leecming
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paper_authors.name: Marcos V. Conde
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paper_authors.fullname: Marcos V. Conde
paper_authors.type: user
paper_authors.user: marcosv
paper_authors._id: 648bc2ee9f4df9495b861b5b
paper_authors.name: Pasha Stetsenko
paper_authors._id: 648bc2ee9f4df9495b861b5c
paper_authors.name: Olivier Grellier
paper_authors._id: 648bc2ee9f4df9495b861b5d
paper_authors.name: SriSatish Ambati
paper_title: h2oGPT: Democratizing Large Language Models
paper_summary: Foundation Large Language Models (LLMs) such as GPT-4 represent a revolution
  in AI due to their real-world applications though natural language processing.
  However, they also pose many significant risks such as the presence of biased,
  private, or harmful text, and the unauthorized inclusion of copyrighted
  material.
    We introduce h2oGPT, a suite of open-source code repositories for the
  creation and use of Large Language Models (LLMs) based on Generative Pretrained
  Transformers (GPTs). The goal of this project is to create the world's best
  truly open-source alternative to closed-source GPTs. In collaboration with and
  as part of the incredible and unstoppable open-source community, we open-source
  several fine-tuned h2oGPT models from 7 to 40 Billion parameters, ready for
  commercial use under fully permissive Apache 2.0 licenses. Included in our
  release is 100% private document search using natural language.
    Open-source language models help boost AI development and make it more
  accessible and trustworthy. They lower entry hurdles, allowing people and
  groups to tailor these models to their needs. This openness increases
  innovation, transparency, and fairness. An open-source strategy is needed to
  share AI benefits fairly, and H2O.ai will continue to democratize AI and LLMs.
paper_ai_keywords: Generative Pretrained Transformers (GPTs) fine-tuned h2oGPT models private document search