Google just published a guide focused on Prompt Engineering, and it goes deep on structure, formatting, config settings, and real examples. Focused on Gemini but works with any LLM. Here’s what it covers:
- How to get predictable, reliable output using temperature, top-p, and top-k
- Prompting techniques for APIs, including system prompts, chain-of-thought, and ReAct (i.e., reason and act)
- How to write prompts that return structured outputs like JSON or specific formats
Link: Prompt Engineering Whitepaper (Google, 2025)
Thanks, Oleg!