Awesome-LLM-Resources-List and awesome-llm-books
These two tools are complements within the "llm-research-curation" category, as one provides a general curated list of LLM resources for applied AI engineering, while the other offers a more specific curated list focused solely on books about Large Language Models, allowing researchers to leverage both for a comprehensive understanding.
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-llm-books
Jason2Brownlee/awesome-llm-books
Awesome LLM Books: Curated list of books on Large Language Models
This is a curated collection of high-quality books focused on Large Language Models (LLMs) and their development. It helps engineers who want to learn how to build, optimize, and deploy LLM-powered applications. You provide a topic of interest within LLMs, and you get a list of relevant books with links to purchase and learn more.
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