awesome-gpt-prompt-engineering and Awesome-Prompt-Engineering
These are competitors—both are curated lists aggregating prompt engineering resources, techniques, and examples, serving the same informational purpose with overlapping content but different editorial selections.
About awesome-gpt-prompt-engineering
snwfdhmp/awesome-gpt-prompt-engineering
A curated list of awesome resources, tools, and other shiny things for LLM prompt engineering.
Organizes resources across practical techniques (chain-of-thought, tree-of-thoughts, zero-shot learning) and development frameworks like LangChain and Embedchain, alongside academic papers and community prompt repositories. Covers the full spectrum from foundational LLM concepts to deployment considerations like token optimization, prompt injection vulnerabilities, and job opportunities in the emerging field. Includes specialized guides for vision models, AutoGPT agents, and ChatGPT plugins alongside generic LLM prompting resources.
About Awesome-Prompt-Engineering
natnew/Awesome-Prompt-Engineering
Awesome-Prompt-Engineering - This repository includes resources for prompt engineering.
Organized as a structured knowledge base spanning foundational prompting techniques through advanced agentic patterns, it covers system prompts, chain-of-thought reasoning, RAG integration, tool definitions, and memory management—the full architecture of context engineering. The collection includes 148+ glossary terms, deep learning fundamentals (transformers, tokenization, attention), curated research articles, and an AI cheat sheet with API parameters and cost optimization, targeting developers building everything from single-prompt applications to production multi-agent systems.
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