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Awesome GitHub RepositoriesPrompt Engineering Lists
Curated collections of research papers and resources focused on prompt engineering and deliberative reasoning techniques for language models.
Distinguishing note: None of the candidates matched; this is a collection of research resources specifically for prompt engineering.
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Awesome Prompt Engineering Lists GitHub Repositories
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- Hannibal046/Awesome-LLM
Hannibal046/Awesome-LLM
26,276View on GitHubThis project serves as a comprehensive, static directory of external resources dedicated to the study and application of large language models. It functions as a centralized discovery point for developers and researchers, aggregating foundational academic papers, technical documentation, and specialized tools within a structured, version-controlled knowledge base. The repository distinguishes itself through a multi-level classification system that organizes diverse technical domains, ranging from model training frameworks and inference optimization to AI safety and hallucination detection. By
Instruction-Tuning-Papers - A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022). - LLM Reading List - A paper & resource list of large language models. - Reasoning using Langu
