H2O.ai Launches H2OGPT and LLM Studio: Build Your Own Enterprise Grade Chatbots
- Generative AI
- H2O Cascade
Overview
This video introduces two open-source releases from H2O.ai, H2OGPT and LLM Studio, aimed at helping enterprises build transparent, secure chatbot applications without sharing their data externally. It covers how LLM Studio's no-code framework lets users create custom GPTs by selecting code, data, and models, and how H2OGPT supports interpretability so users can investigate how an answer was reasoned, score responses, and flag issues. The video frames the case for why each company should have its own GPT built on open source.
Key takeaways
- Why H2O.ai released H2OGPT and LLM Studio as open-source tools for enterprises
- How LLM Studio's no-code framework lets you create a custom GPT by selecting code, data, and models
- How H2OGPT supports interpretability and introspection, letting users investigate the reasoning behind an answer
- What options H2OGPT offers for model selection, response scoring, and flagging issues
- Why H2O.ai argues each company should build and control its own GPT rather than rely solely on external providers
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