AI · Article or course
Prompt Engineering (Google Whitepaper)
A comprehensive guide to prompt engineering techniques and LLM parameters by Google.
A 68-page whitepaper authored by Lee Boonstra and published by Google covering modern prompt engineering strategies. It provides detailed guidance on model parameters like temperature and top-p, alongside structured prompting frameworks. It serves as a thorough reference for developers looking to improve LLM accuracy and reliability in production.
What it's for
- Learn advanced prompting patterns like Chain-of-Thought, Tree-of-Thoughts, and ReAct
- Configure LLM sampling parameters such as temperature, top-k, and top-p for specific tasks
- Design zero-shot and few-shot prompts to handle edge cases in generative AI applications
- Standardize enterprise prompt templates for reliable production outputs
Features
- Detailed analysis of LLM sampling and output configurations
- Guidance on zero-shot and few-shot prompting techniques
- In-depth coverage of reasoning frameworks including Chain-of-Thought (CoT) and ReAct
- Strategies for code generation and technical prompt structuring
- Production-focused best practices compiled by Google engineers
Pricing
Free PDF download
Details
- Type
- Article or course
- Category
- AI
- Topic
- Prompt Engineering
- Open source
- No
- Platforms
- Web
- For
- Developers, AI engineers, and prompt designers working with large language models.
- Alternative to
- OpenAI Prompt Engineering Guide, DAIR.AI Prompt Engineering Guide, Anthropic Interactive Prompt Engineering Tutorial
- Tags
- prompt engineering, llm, google, whitepaper, guide, ai models
Why it was saved
- @aitoolhub.co: It offers an authoritative, structured breakdown of LLM configurations (sampling, temperature, top-k/top-p), advanced prompting patterns (CoT, ToT, ReAct, step-back prompting), and production best practices.
- @gregisenberg: The full source that the 13-point guide distills; worth reading for the complete treatment.
- @TheAIColony: Comprehensive free masterclass on prompting techniques from Google — worth reading for practical prompting skills.
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