Introduction to Generative AI on Databricks

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    Architecture / Concept Overview: Introduction to Generative AI on Databricks

    Generative AI on Databricks spans four layers: model access, data grounding, agent orchestration, and governance.

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    *Generative AI journey: from playground prototyping to governed production agents.*

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    *The five-stage generative AI journey on Databricks.*

    Key Terms

    Prerequisites and Setup

    • Databricks workspace (Premium or Enterprise) with Unity Catalog.
    • Foundation Model APIs enabled in your region.
    • Familiarity with Python and REST APIs.

    Step-by-Step Implementation

      Configuration Reference

      Introduction to Generative AI on Databricks configuration options
      ParameterDefaultDescription
      max_tokens256Maximum tokens in LLM response
      temperature1.0Randomness in generation (0 = deterministic)
      top_p1.0Nucleus sampling threshold
      num_results10Vector search neighbours to retrieve
      endpoint_nameVector Search endpoint name

      Monitoring, Cost, and Security Considerations

      Common Pitfalls and Recommended Patterns

        Frequently Asked Questions