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Teddy Lee
developerYouTube '테디노트' Creator.
LangChain Ambassador.
Specializing in LLM applications, RAG, and LangChain
Passionate about ML, DL, lecturing, an
Public projects
machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Jupyter Notebookdeep-learningganjupyter-notebook
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.
Jupyter Notebookchatgptchatgpt-apicookbook
langserve_ollama
무료로 한국어🇰🇷 파인튜닝 모델 받아서 로컬 LLM 호스팅. LangServe, Ollama, streamlit + RAG
Pythonhuggingfacelangchainlangserve
langchain-teddynote
LangChain 을 더 쉽게 구현하기 위한 유틸 함수, 클래스를 만들어서 패키지로 배포하였습니다.
Pythonlangchainrag
easy-pdf-rag
This is an example of implementing the RAG feature based on OpenAI Assistant V2 and Anthropic's PDF feature.
Jupyter Notebookanthropicopenairag
langserve-template
LangServe 템플릿 코드
Pythonlangchainlangchain-pythonlangserve
Likely stack
ClaudeOpenAILangChainLangGraphLlamaPyTorchOllama
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