#GitBook

This detailed guide explores AI application development with open source tools, focusing on large language models, LangChain basics, and practical implementations. It covers additional topics such as LlamaIndex, HuggingGPT, and LLMOps, alongside the latest updates in LLM application evaluation, RAG series, and major domestic API interpretations. An ideal resource for those interested in enhancing their AI knowledge and engaging with a collaborative learning community.

This compendium provides an extensive array of curated resources for machine and deep learning, covering approximately 500 topics such as modern algorithms, statistics, NLP, and more. It serves both industry professionals and academics, fostering knowledge sharing and author collaboration in a nonprofit, open-access environment. Community contributions enhance its evolving nature, furthering the connection between learners and subject matter experts.