Databricks · Databricks Generative AI Engineer Associate
Frameworks and Prompts
Databricks Generative AI Engineer Associate · Lesson 6 of 17 · 43:11
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In this lesson
Prepare for the Databricks Certified Generative AI Engineer Associate exam. In this lesson: LangChain, LangGraph, the OpenAI Agents SDK, LlamaIndex, and DSPy, the Databricks AI Bridge integrations (models, AI Search, Unity Catalog functions, Genie), enriching the prompt with key fields, terms, and intent, changing one thing at a time from a baseline, and few-shot examples when instructions fall short. Includes three original practice questions.
Preview the topics
- Copperline wants to improve the wording of its classification prompt automatically, by scoring candidate prompts against a labeled set, instead of editing them by hand. Which framework is built for this?
- A customer writes: my CX-450 will not pair after the last upgrade. Copperline’s assistant searches all the manuals, and often answers about other models. Which change makes the best use of the question?
- Copperline’s answers are correct, but long and technical, and customers want short, friendly replies. An instruction to be brief helped a little. What should the team add next?