An open guide to prompt engineering, the practice of designing prompts that get reliable results from large language models. It serves developers building with LLMs as well as researchers who want an overview of the techniques and the papers behind them.
The guide moves from prompt basics to techniques such as zero-shot, few-shot and chain-of-thought prompting, then covers applications, model comparisons, risks and misuse, and tools. Beyond the guides, the repository lists related papers, lectures, notebooks and datasets, and links to the website where the guides are kept up to date.
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