hykhhijk

hykhhijk's Stars

• nlpai-lab/KURE

  KURE: 고려대학교에서 개발한, 한국어 검색에 특화된 임베딩 모델

  Language:Python914

• chiphuyen/aie-book

  [WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

  1.4k156

• chanmuzi/NLP-Paper-News

  The list of NLP paper and news I've checked. There might be short description of them (abstract) in Korean.

  Language:JavaScript21

• kyopark2014/korean-chatbot-using-amazon-bedrock

  It is a chatbot based on LangChain.

  Language:Python5

• wandb/wandbot

  wandbot is a technical support bot for Weights & Biases' AI developer tools that can run in Discord, Slack, ChatGPT and Zendesk

  Language:Jupyter Notebook28049

• huggingface/smol-course

  A course on aligning smol models.

  Language:Jupyter Notebook3.5k1.1k

• athina-ai/rag-cookbooks

  This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

  Language:Jupyter Notebook91554

• andrewyng/aisuite

  Simple, unified interface to multiple Generative AI providers

  Language:Python9.3k826

• davidmrau/mixture-of-experts

  PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

  Language:Python1k105

• songys/AwesomeKorean_Data

  한국어 데이터 세트 링크

  854100

• nlpai-lab/KULLM

  ☁️ 구름(KULLM): 고려대학교에서 개발한, 한국어에 특화된 LLM

  57672

• taegon/my-star-dev-list

  내 마음대로 정하는 스타 개발자 리스트

  371

• chonkie-ai/chonkie

  🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

  Language:Python1.9k78

• lucifertrj/Awesome-RAG

  RAG-VectorDB-Embedings-LlamaIndex-Langchain

  Language:Python18920

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook36.1k4.5k

• naver/bergen

  Benchmarking library for RAG

  Language:Jupyter Notebook14414

• lovedlim/bigdata_analyst_cert

  Language:Jupyter Notebook139

• Marker-Inc-Korea/AutoRAG-example-korean-embedding-benchmark

  AutoRAG example about benchmarking Korean embeddings.

  Language:Python246

• Marker-Inc-Korea/AutoRAG

  AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

  Language:Python3k229

• 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.

  Language:Jupyter Notebook1.3k343

• facebookresearch/MobileLLM

  MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.

  Language:Python1.2k67

• corbt/agent.exe

  Language:TypeScript3.2k303

• pytorch/ao

  PyTorch native quantization and sparsity for training and inference

  Language:Python1.7k188

• microsoft/data-formulator

  🪄 Create rich visualizations with AI

  Language:TypeScript1.4k86

• Beomi/ko-lm-evaluation-harness

  Forked repo from https://github.com/EleutherAI/lm-evaluation-harness/commit/1f66adc

  Language:Python7219

• phidatahq/phidata

  Build multi-modal Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.

  Language:Python16.8k2.3k

• MIATECHPARTNERS/PromptChains

  Prompt chains maximize intelligence and results when using LLMs

  49853

• PacktPublishing/LLM-Engineers-Handbook

  The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

  Language:Python2.2k367

• ruipcf/Reinforcement-Learning-Cheat-Sheet

  6

• teacherpeterpan/self-correction-llm-papers

  This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.

  46926