Description
Prompting Guide is a comprehensive online resource created by DAIR.AI that gathers up-to-date theory and best practices for designing effective prompts when working with large language models (LLMs). It covers the basics of prompting—such as instructions, context, input data, and output formats—while providing more advanced techniques like function calling, context caching, synthetic dataset generation, and handling model risk (bias, factuality, etc.). Users can find example prompts (for tasks like summarization, reasoning, QA, coding), model-specific guidance, tools, notebooks, and research readings, all intended to help developers, researchers, and AI practitioners get better results and understand LLM capabilities more deeply.
