Turning Data into Insights with h2oGPTe
- Generative AI
- Enterprise h2oGPTe
This lesson gives an overview of the core concepts covered in H2O's Generative AI courses for turning data into actionable insights with Enterprise h2oGPTe. It covers starting with simple conversational prompting, building a personalized data collection for precise retrieval, and configuring settings such as which LLM to use and the temperature for tailoring outputs. It also covers retrieval-augmented generation for combining retrieval with generation, and API access for integrating h2oGPTe programmatically into applications and workflows.
Key takeaways
- How prompting, data ingestion, and configuration fit together as the first steps in using h2oGPTe
- Why adjusting a setting like temperature changes how tailored an LLM's output is to your needs
- How retrieval-augmented generation combines retrieval and generation for more contextually accurate answers
Start owning your AI