Writing an OS in 1,000 lines.

Reinforcement learning resources curated

Cache-Augmented Generation: A Simple, Efficient Alternative to RAG

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Examples and guides for using the Gemini API

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

AutoRAG 한국어 튜토리얼을 위한 레포입니다.

KURE: 고려대학교에서 개발한, 한국어 검색에 특화된 임베딩 모델

Awesome Machine Unlearning (A Survey of Machine Unlearning)

🪖 [전문연구요원] 데이터 적재/시각화 및 블로그 정리 🪖

Official inference repo for FLUX.1 models

Editing Models with Task Arithmetic

The enriched version of the WebNLG described at INLG 2018

[2021 훈민정음 한국어 음성•자연어 인공지능 경진대회] 대화요약 부문 알라꿍달라꿍 팀의 대화요약 학습 및 추론 코드를 공유하기 위한 레포입니다.

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

Train transformer language models with reinforcement learning.

Grok open release

Open-Sora: Democratizing Efficient Video Production for All

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

A complete computer science study plan to become a software engineer.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

End-to-End Speech Processing Toolkit

KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)

Asian language bart models (En, Ja, Ko, Zh, ECJK)