Tour of H2O's AI Code Assistants and App Studio
- Generative AI
- Enterprise h2oGPTe
- H2O Driverless AI
This lesson tours several AI-assisted developer tools across the H2O platform. It starts with the Notebook Lab's programming assistant, which answers coding questions, switches between languages, and generates a starter Jupyter notebook for analyzing data. It then shows H2O Function, an agent-based tool that uploads a dataset and automatically launches an H2O Driverless AI experiment to build a classification model without being told which product to use. Finally, it demonstrates the Generative AI App Studio, which builds a working H2O Wave application from a text prompt or sketch, complete with uploaded data and documents.
Key takeaways
- How H2O Function selects H2O Driverless AI on its own to build a classification experiment from an uploaded dataset
- How the Generative AI App Studio turns a text prompt or a sketch into a working application
- Why you can attach sample data and documents when generating an app so it connects to Enterprise h2oGPTe for RAG
- How to keep refining a generated app afterward, for example renaming a title through a follow-up prompt
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