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Prompt Engineering Guide

A comprehensive resource for prompt engineering in Large Language Models (LLMs). This documentation website provides guides, techniques, and best practices for effectively working with AI language models.

About This Project

The Prompt Engineering Guide covers:

  • Fundamentals: Introduction to prompt engineering concepts
  • Basic Techniques: Zero-shot, one-shot, few-shot, and role-based prompting
  • Advanced Techniques: Chain-of-Thought, Retrieval-Augmented Generation (RAG), and prompt chaining
  • Specialized Prompts: Function calling, multi-modal interactions, and output constraints
  • Responsible AI: Safety, ethics, and mitigating risks like prompt injection

Visit the live site at https://docs.promptllm.xyz

This website is built using Docusaurus, a modern static website generator.

Installation

$ yarn

Local Development

$ yarn start

This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.

Build

$ yarn build

This command generates static content into the build directory and can be served using any static contents hosting service.

Deployment

Using SSH:

$ USE_SSH=true yarn deploy

Not using SSH:

$ GIT_USER=<Your GitHub username> yarn deploy

If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.

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