Optimize generative AI model performance with Microsoft Foundry
Intermediate
Data Scientist
AI Engineer
Azure AI 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.
- Understand when and how to ground a language model using Retrieval Augmented Generation (RAG).
- Identify when fine-tuning a model improves behavioral consistency.
- Compare optimization strategies and determine when to combine them.
Prerequisites
Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.