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H2O Open Ecosystem for State-of-the-art Large Language Models

H2O Open Ecosystem for State-of-the-art Large Language Models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2880584419

H2O Open Ecosystem for State-of-the-art Large Language Models

About this item

Full title

H2O Open Ecosystem for State-of-the-art Large Language Models

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-10

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Large Language Models (LLMs) represent a revolution in AI. However, they also pose many significant risks, such as the presence of biased, private, copyrighted or harmful text. For this reason we need open, transparent and safe solutions. We introduce a complete open-source ecosystem for developing and testing LLMs. The goal of this project is to boost open alternatives to closed-source approaches. We release h2oGPT, a family of fine-tuned LLMs of diverse sizes. We also introduce H2O LLM Studio, a framework and no-code GUI designed for efficient fine-tuning, evaluation, and deployment of LLMs using the most recent state-of-the-art techniques. Our code and models are fully open-source. We believe this work helps to boost AI development and make it more accessible, efficient and trustworthy. The demo is available at: https://gpt.h2o.ai/...

Alternative Titles

Full title

H2O Open Ecosystem for State-of-the-art Large Language Models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2880584419

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2880584419

Other Identifiers

E-ISSN

2331-8422

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