LLM Cookbook is an open-source learning repository designed to help developers understand how to build applications powered by large language models through practical examples and translated course material. The project adapts and reproduces content from widely known LLM developer courses and reorganizes it into a structured learning path tailored for developers who want to build real AI applications. It covers the essential topics required to start working with LLM APIs and frameworks, including prompt engineering, application architecture, retrieval-augmented generation, and system evaluation. The repository includes practical coding examples that demonstrate how to integrate language models with tools such as LangChain and other common AI development frameworks. It also provides curated learning modules that guide users from introductory concepts to more advanced topics like building conversational systems or knowledge-based assistants.
Features
- Comprehensive developer guide for building LLM applications
- Tutorials on prompt engineering and API usage
- Examples integrating LLMs with frameworks like LangChain
- Guidance for building RAG-based knowledge systems
- Structured learning path based on practical developer workflows
- Translated and adapted educational materials for easier learning