AI & DL & ML

• AI 면접용 Interview study
  • APP Link

LLM & Transformer

Books

• Deep Learning Bible - NLP (wikidocs)

  • https://wikidocs.net/book/7100

• Deep Learning Bible - LLM (wikidocs)

  • https://wikidocs.net/book/14965

• LLM from scratch (Sebastian Raschka)

  • https://github.com/rasbt/LLMs-from-scratch

Lectures

• 스탠포드 Transformer & LLM 강의

  • https://www.youtube.com/watch?v=Ub3GoFaUcds

• 워털루 Foundation Models 강의

  • https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/

• 프린스턴 LLM 강의자료

  • https://www.cs.princeton.edu/courses/archive/fall22/cos597G/

• 하버드대 Machine Learning System 교재

  • ML Systems Textbook

Paper / Research / References

• Transformer study ("A survey of Transformer" Survey 논문 base, DSBA 연구실)

  • https://github.com/yukyunglee/Transformer_Survey_Study

• Awesome-LLM (trending paper, researches)

  • https://github.com/Hannibal046/Awesome-LLM

Articles

• Finetuning LLMs with Reinforcement Learning - 강화학습을 통한 LLM 파인튜닝

  • https://medium.com/data-science-at-microsoft/fine-tuning-llms-with-reinforcement-learning-ef84fe42d6a6

• multimodal LLM (Sebastian Raschka)

  • https://magazine.sebastianraschka.com/p/understanding-multimodal-llms

• 2024 LLM paper list (Sebastian Raschka)

  • https://magazine.sebastianraschka.com/p/llm-research-papers-the-2024-list

Leaderboards

• Function Calling leaderboard : function calling → BFCL Score가 높은 베이스 모델 사용하기

  • https://gorilla.cs.berkeley.edu/leaderboard.html

• Embedding Leaderboard (MTEB)

  • https://huggingface.co/spaces/mteb/leaderboard

• Chatbot Arena leaderboard (LMArena)

  • https://lmarena.ai/leaderboard
  • (or https://huggingface.co/spaces/lmarena-ai/lmarena-leaderboard)

• WBA.chat

  • AI 모델, 누가 제일 잘하나? | WBA.chat

• llm-stats

  • LLM Leaderboard

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DL (Deep Learning)

• Understanding Deep Learning
  • https://udlbook.github.io/udlbook/

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RL (Reinforcement Learning)

• Deep learning Bible (Wikidocs) https://wikidocs.net/book/7888

  • GitHub Repository : Reinforcement Learning - OpenAI Gym [Click Here]
  • GitHub Repository : Reinforcement Learning - Single Agent [Click Here]
  • GitHub Repository : Reinforcement Learning - Multi Agent [Click Here]

• 해외 대학들 강화학습 강의모음

  • https://helpingstar.github.io/rl/RLlecture/

• 스탠포드 diffusion 및 flow matching 강의

  • https://diffusion.csail.mit.edu/2025/index.html

• 고려대학교 오승상 교수님 강화학습 강의

  • https://www.youtube.com/playlist?list=PLvbUC2Zh5oJtYXow4jawpZJ2xBel6vGhC

• 혁펜하임 강화학습 강의

  • https://youtube.com/playlist?list=PL_iJu012NOxehE8fdF9me4TLfbdv3ZW8g&si=eMlsmTTEZh3S_Eb9

• Deep Reinforcement Learning (Springer)

  • https://arxiv.org/pdf/2201.02135

• Reinforcement Learning: An Overview

  • https://arxiv.org/pdf/2412.05265

• RL 방법론 모음집

  • https://github.com/aikorea/awesome-rl
  • https://github.com/kristery/Awesome-Imitation-Learning.git

• multi-agent 모음집

  • https://github.com/kyegomez/awesome-multi-agent-papers
  • https://github.com/WeiChengTseng/awesome-multi-agent

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Robotics

• Awesome-LLM-Robotics (paper, researches)

  • https://github.com/GT-RIPL/Awesome-LLM-Robotics

• Leisaac, Lerobot

  • Leisaac
  • Lerobot
  • Lerobot - Gr00t 파인튜닝 및 적용 튜토리얼
  • Lerobot - Robot Learning tutorial

• Open-sourced VLA Models

  • [Physical-Intelligence] openpi
  • [Huggingface] OpenVLA
  • [Nvidia] Isaac-Gr00t

Isaac Sim / Isaac Lab

• Mobile Robot Manipulation 예제 (Isaac Sim)
  • https://youtu.be/k4R60XoZmIE?si=IJuPMmqH4BDnAi5F

World Model

• awesome-world-models
  • https://github.com/leofan90/Awesome-World-Models

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Conference Deadlines

• AI Deadlines
  • http://aideadlines.org/?sub=ML,CV,NLP,RO,SP,DM,AP,KR,HCI,IRSM,MISC