LazaUK/DeepLearningAI-LangChain-AppDevelopment

Practical Jupyter notebooks from Andrew Ng and Harrison Chase's "LangChain for LLM Application Development" course on DeepLearning.AI.

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This project helps application developers build large language model (LLM) applications using LangChain. It provides practical Jupyter notebooks that demonstrate how to integrate LLMs into various applications, covering concepts like memory, chains, and agents. Developers can use these notebooks as a guide to create sophisticated LLM-powered features.

No commits in the last 6 months.

Use this if you are an application developer looking for hands-on examples to build LLM applications with LangChain, especially if you plan to use Azure OpenAI.

Not ideal if you are looking for a ready-to-use LLM application or a non-technical guide to understanding LLMs.

LLM application development Azure OpenAI LangChain Jupyter notebooks AI integration
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 17 / 25

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Last pushed

Aug 06, 2023

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