H2O Generative AI Starter Track: Course Overview
- Generative AI
- Enterprise h2oGPTe
This lesson opens the H2O Generative AI Starter Track with an overview of what the course covers. It introduces core AI and machine learning concepts that underpin generative models, then previews how Generative AI applies to documents, images, and audio using tools like h2oGPTe. The lesson also flags two topics covered later in depth, configuring Retrieval Augmented Generation (RAG) and writing prompt templates for more accurate, dynamic outputs. It sets up the rest of the track by explaining the role large language models play in enabling these capabilities.
Key takeaways
- How core AI and machine learning concepts underpin the generative models covered later in the track
- What Generative AI can do across documents, images, and audio using tools like h2oGPTe
- Why large language models are central to producing accurate and useful generative outputs
- How Retrieval Augmented Generation (RAG) and prompt templates improve output accuracy, covered in later lessons
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