Awesome-LLM-Resources-List and Awesome-Code-LLM
About Awesome-LLM-Resources-List
ilsilfverskiold/Awesome-LLM-Resources-List
A Curated Collection of resources for applied AI engineering (work in progress).
This collection helps AI engineers and practitioners navigate the rapidly evolving landscape of Large Language Model (LLM) tools and platforms. It provides curated lists for hosting private or open-source LLMs, accessing off-the-shelf models via API, and performing local inference. The output is a clear overview of options, features, and pricing to help you make informed decisions for your projects.
About Awesome-Code-LLM
codefuse-ai/Awesome-Code-LLM
[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.
This resource is a comprehensive, organized collection of academic research papers and datasets focused on using Large Language Models (LLMs) for various software engineering tasks. It brings together studies on how LLMs can generate code, fix bugs, summarize code, and assist with testing, deployment, and even requirements analysis. Developers, researchers, and anyone looking to understand or apply cutting-edge AI in software development will find this a valuable starting point for exploring the field.
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