llm-engineer-toolkit and Awesome-LLM-Resources-List
These are complements—one is a categorized directory of 120+ NLP/LLM libraries for building systems, while the other is a curated collection of applied AI engineering resources and best practices, meant to be consulted together when developing LLM applications.
About llm-engineer-toolkit
KalyanKS-NLP/llm-engineer-toolkit
A curated list of 120+ LLM libraries category wise.
Organizes 120+ LLM libraries across 14 functional categories—training, inference, RAG, agents, evaluation, safety, and more—with direct GitHub links and concise descriptions. Covers the entire LLM engineering lifecycle from fine-tuning frameworks (PEFT, Unsloth) and application development (LangChain, LlamaIndex) to specialized domains like structured outputs, embedding models, and monitoring. Serves as a reference guide for selecting tools within each LLM development stage.
About Awesome-LLM-Resources-List
ilsilfverskiold/Awesome-LLM-Resources-List
A Curated Collection of resources for applied AI engineering (work in progress).
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