What's Next in the h2oGPTe Starter Track
- Generative AI
- Enterprise h2oGPTe
This lesson previews the upcoming modules in the H2O Generative AI Starter Track, introducing h2oGPTe as a retrieval augmented generation platform for analyzing complex documents. It outlines five topics the series will cover: prompting with your preferred large language model, building data collections for smarter retrieval, customizing configuration settings, combining retrieval with generation through RAG, and accessing the platform through its API. It highlights real world use cases like drafting reports from uploaded articles, generating speech outlines, and building self service chatbots for HR and procurement questions.
Key takeaways
- What five topics the upcoming h2oGPTe modules will cover, from prompting through API access
- How building a data collection supports smarter, more targeted information retrieval
- Why RAG combines retrieval with generation to produce more accurate, context aware results
- The real world use cases previewed include drafting reports, speech outlines, and HR chatbots
- How self service chatbots built on h2oGPTe can answer routine HR and procurement questions
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