h2oGPT is an open-source platform developed by H2O.ai, designed to provide a private and efficient environment for deploying and interacting with large language models (LLMs). It enables users to run GPT models locally, ensuring data privacy and control without reliance on external servers. The platform supports various data types, including documents, images, and videos, facilitating versatile applications across different domains. Key Features and Functionality: - Open-Source and Commercially Usable: h2oGPT offers a fully permissive codebase, allowing for commercial use without restrictions. - Data Preparation and Fine-Tuning: Provides tools for preparing large datasets and fine-tuning LLMs, including prompt engineering techniques. - Scalable Model Training: Supports fine-tuning of LLMs up to 20 billion parameters on both commodity hardware and enterprise GPU servers, accommodating single or multi-node configurations. - Chatbot Deployment: Enables the deployment of chatbots on GPU servers with shareable endpoints and a Python client API for seamless integration. - Performance Evaluation: Includes functionalities to evaluate and compare the performance of fine-tuned LLMs, ensuring optimal model selection. Primary Value and User Solutions: h2oGPT addresses the need for private, secure, and efficient deployment of large language models. By allowing users to run models locally, it ensures data privacy and reduces dependency on external services. Its comprehensive suite of tools for data preparation, model fine-tuning, and performance evaluation empowers users to customize and optimize LLMs for specific applications, enhancing productivity and innovation across various industries.