📄️ 2.1 Anatomy of a Prompt
System prompt, user prompt, roles, and instruction clarity in LLM prompting.
📄️ 2.2 Core Techniques
Zero-shot, few-shot, chain-of-thought, and step-by-step reasoning techniques.
📄️ 2.3 Structured Output
JSON mode, XML tags, schema enforcement, and Pydantic validation for LLM outputs.
📄️ 2.4 Domain-Specific
Injecting domain knowledge, glossary seeding, and persona prompting strategies.
📄️ 2.5 Prompt Versioning
Storing prompts as templates, A/B testing prompts, and iteration workflows.