h2oGPT is an open-source large language model (LLM) developed by H2O.ai, aimed at offering a private and offline alternative to mainstream hosted LLMs like OpenAI’s ChatGPT and GPT-4. It consolidates essential components such as a large language model, embedding model, document database, and user interface into a unified platform. This setup enables users to retain control over their data and ensure privacy while benefiting from robust language processing capabilities.
Released under the Apache-2.0 license, h2oGPT allows commercial use of its code, data, and models. It supports various document formats including plain text, CSV, Word, PDF, Markdown, HTML, and email files, catering to diverse user needs. The project also features tools for prompt engineering, model fine-tuning, and performance evaluation, empowering users to customize the LLM to meet specific requirements and achieve optimal performance.
h2oGPT simplifies the creation of private LLMs by providing a comprehensive solution that integrates necessary components seamlessly. This approach not only enhances data privacy but also facilitates flexibility in adapting the model to different applications and workflows, making advanced language processing accessible and manageable for a wide range of users.
