Simple RL training for reasoning

A collection of AWESOME things about domain adaptation

[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

Train transformer language models with reinforcement learning.

[COLM 2025] LIMO: Less is More for Reasoning

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Paper Reproduction Google SCoRE(Training Language Models to Self-Correct via Reinforcement Learning)

Clinical text summarization by adapting large language models

The official Meta Llama 3 GitHub site

A curated list of reinforcement learning with human feedback resources (continually updated)

Federated Optimization in Heterogeneous Networks (MLSys '20)

자체 구축한 한국어 평가 데이터셋을 이용한 한국어 모델 평가

A framework for few-shot evaluation of language models.

Flower: A Friendly Federated AI Framework

This repository contains two datasets with multi-turn adversarial conversations generated by human agents interacting with a dialog model and rated for safety by two corresponding diverse rater pools.

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

[NAACL 2024 Findings] Evaluation suite for the systematic evaluation of instruction selection methods.

🐙 OctoPack: Instruction Tuning Code Large Language Models

✏️ 기술 면접 스터디 Cheat Sheet

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

Transformer related optimization, including BERT, GPT

Korean BART

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

Assignments for CS294-112.

For experiments involving instruct gpt. Currently used for documenting open research questions.