Week 4: Large Language Models#
Status: Draft scaffold.
Use this week for LLM fundamentals, prompting, structured outputs, embeddings, retrieval, and LLM application patterns.
Topics#
- Prompt engineering
- Structured extraction
- Embeddings
- Retrieval augmented generation
- Function calling
- Evaluation
- Speech, image, and multimodal use cases
Learning Goals#
- Choose the right LLM workflow for a data science task.
- Design prompts and structured outputs that are easy to test.
- Use embeddings and retrieval for grounded responses.
- Evaluate LLM outputs with clear criteria.
Content Checklist#
- Final lesson sequence
- API setup notes
- Prompt examples
- Assessment link