Awesome-Prompt-Engineering and Learn_Prompting
These are complements—a curated resource collection and a structured educational guide that together provide both breadth (A's comprehensive overview of prompt engineering techniques across different models) and depth (B's organized learning pathway with community support) for mastering prompt engineering.
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 Learn_Prompting
trigaten/Learn_Prompting
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
Built as a Next.js static site, the project delivers comprehensive prompt engineering education through an open-source guide cited by OpenAI and Google, supplemented by 15 structured courses covering generative AI and LLM techniques. The repository includes research artifacts like "The Prompt Report" (systematic survey of prompting methods) and datasets from HackAPrompt (600K+ adversarial prompts), enabling community-driven contributions across translations, content, and artwork.
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