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ํ๊ตญ์ด๋ก๋ ๋ฉ์ง ์ด๋ ฅ์ ๋ชฉ๋ก, ๊ทธ๋ฆฌ๊ณ ์ง์ํ ํ
CrawleeโA web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, anโฆ
Official repository for KoMT-Bench built by LG AI Research
Official repository for EXAONE built by LG AI Research
Neo4j graph construction from unstructured data using LLMs
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Shall We Quiz?๐ AI๊ฐ ์์ฑํ ํด์ฆ๋ฅผ ์น๊ตฌ๋ค๊ณผ ํจ๊ป ํธ๋ ์๋น์ค
A library to extract the main content from html. Developed for information on LLM and for feeding data into LangChain and LlamaIndex.
LangChain ๊ณต์ Document, Cookbook, ๊ทธ ๋ฐ์ ์ค์ฉ ์์ ๋ฅผ ๋ฐํ์ผ๋ก ์์ฑํ ํ๊ตญ์ด ํํ ๋ฆฌ์ผ์ ๋๋ค. ๋ณธ ํํ ๋ฆฌ์ผ์ ํตํด LangChain์ ๋ ์ฝ๊ณ ํจ๊ณผ์ ์ผ๋ก ์ฌ์ฉํ๋ ๋ฐฉ๋ฒ์ ๋ฐฐ์ธ ์ ์์ต๋๋ค.
๐ฆ ๊นํ๋ธ ํ๋์ผ๋ก ํซ์ ํค์ฐ์ธ์ / Have pet in your github
ํ๋ก๊ทธ๋๋จธ์ ์ผ์ ์งค ์ ์ฅ์์ ๋๋ค
Using Tree-of-Thought Prompting to boost ChatGPT's reasoning
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
๐ Guides, papers, lecture, notebooks and resources for prompt engineering
Papers and Datasets on Instruction Tuning and Following. โจโจโจ
Data Engineering with Python, published by Packt
๐ฆ๐ Build context-aware reasoning applications
์๋ฅ ๊ตญ์ด 1๋ฑ๊ธ์ ๋์ ํ๋ AI
Personal Data Engineering Projects
Example end to end data engineering project.
FastAPI Best Practices and Conventions we used at our startup
User documentation for Knative components.
Fast and Simple Serverless Functions for Kubernetes
The User-Community Airflow Helm Chart is the standard way to deploy Apache Airflow on Kubernetes with Helm. Originally created in 2017, it has since helped thousands of companies create production-โฆ
Source code for Twitter's Recommendation Algorithm
A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch