Day 4: Advanced Techniques

Today covers prompt patterns for systems, not just single calls. Tool use and function calling turn prompts into API contracts. Multi-turn conversations need state tracking. Prompt chaining builds pipelines. RAG combines retrieval with generation. And model-specific prompting accounts for the quirks of each provider.

Lessons

1. Tool Use & Function Calling , designing prompts that produce structured tool calls
2. Multi-Turn Conversation Design , maintaining context and state across turns
3. Prompt Chaining & Pipelines , composing multiple LLM calls into workflows
4. Retrieval-Augmented Prompting , injecting retrieved context into prompts
5. Model-Specific Prompting , provider-specific quirks and optimizations

Next: Day 5, Safety & Production