Focus on this objective today: Optimize and operationalize generative AI systems: Tune generation behavior, such as prompt engineering and adjusting model parameters. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Optimize generative AI model performance with Microsoft Foundry Module 8 Units Feedback Intermediate Data Scientist AI Engineer Microsoft Foundry Explore complementary strategies to optimize generative AI model performance. Learn how to apply prompt engineering, ground your model with RAG, and fine-tune for consistent behavior—and when to combine these approaches. Learning objectives By the end of this module, you'll be able to: Apply prompt engineering techniques including system messages, few-shot learning, and model parameters to optimize model output.
Objective
Optimize and operationalize generative AI systems: Tune generation behavior, such as prompt engineering and adjusting model parameters