H2O's Generative AI Ecosystem, Course Overview
- Generative AI
- H2O Cascade
- Enterprise h2oGPTe
- H2O Eval Studio
This lesson previews the H2O Gen AI Ecosystem Overview course, mapping out the tools covered across the rest of the learning path. It points to fine-tuning large language models with LLM Studio, retrieving information from your own documents using retrieval-augmented generation in Enterprise h2oGPTe, and experimenting with the open-source h2oGPT tool. It also flags the evaluation tooling used to score model quality, and the Gen AI App Studio and Gen AI App Store for building and browsing generative AI web applications, setting expectations for what the rest of the course will demonstrate hands-on.
Key takeaways
- What LLM Studio is used for, fine-tuning large language models as part of the generative AI ecosystem
- How Enterprise h2oGPTe uses RAG to retrieve information from your own documents
- Why model evaluation tooling matters for checking a fine-tuned or RAG-based model's quality
- How Gen AI App Studio and the Gen AI App Store support building and browsing generative AI apps
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