LangChain Models Coding Part 3 | LLM Models & Embedding Models Implementation скачать в хорошем качестве

LangChain Models Coding Part 3 | LLM Models & Embedding Models Implementation

#LangChain #LLM #Embeddings #GenerativeAI #AIArchitecture In this video, I complete the LangChain Models coding series by implementing LLM Models and Embedding Models in practice. This session focuses entirely on practical implementation. In this video, you will learn: • How to use LLM Models in LangChain • How LLM models differ from Chat Models • How to configure and invoke LLM models • How to create and use Embedding Models • How embeddings are generated and used in applications • How LangChain provides a standardized interface for these models This video builds directly on the previous sessions where I explained model abstraction and model types. With this session, the complete Models component in LangChain is now covered — both theory and implementation. These concepts are foundational for building RAG systems and production-ready LLM applications. This is part of my LangChain for GenAI Developers series, where I document the journey from architecture to implementation. #LLMDevelopment #LangChainTutorial #AIEngineering #GenAI #EmbeddingModels #AIApplications #BuildAIApps