langchain-kr and LangChain-Tutior

langchain-kr
53
Established
LangChain-Tutior
43
Emerging
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 17/25
Stars: 1,991
Forks: 727
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 177
Forks: 25
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About langchain-kr

teddylee777/langchain-kr

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

This project offers a comprehensive Korean tutorial for LangChain, a framework for developing applications powered by large language models. It takes LangChain's official documentation, cookbooks, and practical examples as input and provides clear guidance on building various LLM applications. This resource is designed for developers, data scientists, and AI engineers who want to integrate LLMs into their workflows effectively.

LLM-development AI-application-building natural-language-processing software-development machine-learning-engineering

About LangChain-Tutior

ConnectAI-E/LangChain-Tutior

⛓ LangChain 入门指南，配套吴恩达老师deeplearning.ai课程 😎复现语言：Python、NodeJs、Golang

This project provides practical code examples and guides for building applications with large language models using LangChain. It takes the concepts from Andrew Ng's deeplearning.ai course on LangChain and translates them into runnable code. Developers who want to integrate AI capabilities into their software using Python, Node.js, or Go can use this to learn how to structure and implement such applications.

AI application development Large Language Models (LLM) AI integration software engineering AI programming

Related comparisons

langchain-kr and LangChain-OpenTutorial langchain-kr and LangChain-Chinese-Getting-Started-Guide langchain-kr and langchain-tutorials langchain-kr and LangChain-OpenTutorial langchain-kr and langchain-notes langchain-kr and LangChain-Chinese-Getting-Started-Guide

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