Awesome-Prompt-Engineering and Prompt-Engineering-Jumpstart
These are complements: the comprehensive curated resource collection pairs with an accessible beginner's guide to serve different entry points into prompt engineering—one for breadth of reference materials and one for foundational learning.
About Awesome-Prompt-Engineering
promptslab/Awesome-Prompt-Engineering
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Organized by research area (reasoning, in-context learning, multimodal, agent systems) and practical tools (prompt management, LLM evaluation, agent frameworks), this collection spans 1,500+ papers with a taxonomy of 58+ prompting techniques alongside benchmarks, open-source implementations, and provider documentation. It bridges theory and practice by pairing foundational research with evaluation frameworks, red-teaming resources, and code repositories for prompt optimization, compression, and security testing.
About Prompt-Engineering-Jumpstart
arorarishi/Prompt-Engineering-Jumpstart
Prompt Engineering Jumpstart: The simplest beginner's guide to talking with AI. Learn universal prompt engineering principles with simple analogies & copy-paste examples for ChatGPT & DALL-E. No tech skills needed. Free, open-source eBook.
The guide covers 14 core prompting patterns—specificity, persona assignment, few-shot learning, chain-of-thought reasoning, output formatting, iteration, negative prompting, and task chaining—each with before/after examples and practice exercises. It approaches prompt engineering as universal "grammar" applicable across ChatGPT, Claude, Copilot, Gemini, and image models like DALL-E, treating it as a learnable skill rather than trial-and-error guessing. Content is structured as a complete open-source markdown eBook with chapters, visual summaries, and a dedicated cheat sheet for quick reference.
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