alphasecio/langchain-decoded
A companion guide for the blog post series, LangChain Decoded.
This companion guide helps you understand and build applications using large language models (LLMs) with LangChain. It takes complex LLM concepts and breaks them down into understandable Python notebooks, starting from models and progressing through embeddings, prompts, and more. This guide is for developers, data scientists, and AI/ML engineers who are learning to integrate LLMs into their projects.
143 stars. No commits in the last 6 months.
Use this if you are a developer or data scientist looking to learn the practical implementation of LangChain components to build LLM-powered applications.
Not ideal if you are a non-technical user seeking ready-to-use LLM applications without any coding.
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Jupyter Notebook
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MIT
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Last pushed
Jul 03, 2024
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