3Applications of Foundation Models

• 3.1Prompt Engineering and Inference Parameters

  Understand prompt techniques (zero-shot, few-shot, chain-of-thought) and inference parameters like temperature and context window.

• 3.2RAG and Fine-tuning

  Understand two main ways to adapt a foundation model to your needs—RAG (retrieval-augmented generation) and fine-tuning—and when to use each.

• 3.3Selecting and Evaluating Foundation Models

  Understand criteria for choosing a foundation model (accuracy, cost, latency), how to evaluate, and risks like hallucination.