써클 아카이브: 정보탐색 Starting Point

[HangryDev]

댓글에 공유할만한 이야기들, 자료들, 후기들을 남겨주세요! 남겨주신 소스는 계속해서 본문에 업데이트됩니다!
해당 소스에 대한 간략한 정보를 포함해서 올려주시면 감사하겠습니다!!

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정보 소스 목록

AI 학습 & 커리어 for 쥬니어

엄선된 아티클들	시작하기 좋은 사이트들
1 1년 안에 빅데이터 전문가가 되는 법 by 서대호	1 Daniel Bourke - 독학으로 머신러닝 엔지니어 되기: 과정과 결과를 전부 유튜브에 공개하는 분입니다.
2 How to Land a 100K/yr Tech Job - 10 Strategies by Fireship	2 All about AI LLM Path - 신기술 올라오면 즉시 찾아내서 가르쳐주는 선생님 (담당: 세용님!)
3 The MOST Important Skills To Learn in 2024 byTina Huang	3 bytebytego / 뉴스레터로 정기적인 기술면접 개념을 보내줍니다

AI 툴링 (코딩 / 리서치 / 생산성!)

엄선된 아티클들	시작하기 좋은 사이트들
1	1. AI Jason
2	2. Devin Kearns |CUSTOM AI STUDIO
3	3. Be10x

일반, 고전적 아티클

엄선된 아티클들	시작하기 좋은 사이트들
1	1. AI Supremacy 유료. (담당: 홍규님, 호현님, 동원님!)
2	2. The Pragmatic Engineer 유료
3	3. AI Explained
3	4. 티타임즈 티비

처음 시작하기 좋은 곳[개념 수립&교육]

genAI 핸드북
네이버 부스트코스
혁펜하임|AI&딥러닝 강의
Deeplearning.AI
Applied LLMs

처음 시작하기 좋은 곳[개념 수립&교육]

리서치

Scholar Inbox
ACL Anthology
HuggingFace Daily Papers
Google Scholar
Arxiv

RSS FEED

Geeknews
Dev.to
DEVOCEAN
Feedly

서브스택

Society's backend
AI Supremacy
DeepLearningWeekly

레딧

AILinksandTools
AiBuilders
LanguageTechnology
LocalLlama
openai : openai, GPT 등과 관련된 정보 공유
artificial : ai 분야 최근 정보 공유
ArtificialInteligence : ai를 활용한 방법? 기술?을 포함한 넓은 분야의 정보 공유

링크드인

JinJoong Kim
Yitae Jeong
Aishwarya Naresh Reganti
Tomaz Bratanic

유튜브

AI Jason 본진 / 유튜브
Yannic Kilcher
Two Minute Papers
CodeAesthetic
안될공학
팡요랩
귓속말의 자막나라

오픈카톡방

자연어 처리와 딥러닝 2024 - 게시판도 있음
LLM RAG Langchain 통합
더 베러 커뮤니티 - AI 활용한 자기계발
고양이의 머신러닝연구방

블로그

DAIR.AI
HuggingFace Blog
Kuzu
Neo4J
David Stutz
BAIR
MachineLearningMastery

독립 사이트

Producthunt
Futurepedia
AI Job Boards
Radiance Fields
GraphUserGroup
Huyenchip

비즈니스 & 전략

A16Z
WGSN
Eo
DISQUIET
https://easywithai.com/

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who to follow in AI 2024 LIST

Andrej Karpathy

Top audience: Software Engineers
Why I follow them: Mostly his time at Tesla, YouTube tutorials
Usual Location: Stanford, California

Twitter, Blog, YouTube, Website

Dwarkesh Patel

Why I follow them: strictly AI related Interviews
Usual Location: San Francisco, California

Twitter, YouTube, Spotify Podcast: Dwarkesh Patel on Spotify, Apple Podcast: Dwarkesh on Apple, Substack

Philipp Schmid

Top audience: ML Researchers
Why I follow them: For Open-source LLM news ONLY

LinkedIn, Twitter
Blog, Hugging Face Posts

Linxi ‘Jim’ Fan

Top audience: AI Enthusiasts
Why I follow them: Mostly insights on Robotics & Agentic AI, Videos
Ted Talk:The Next Grand Challenge in AI

LinkedIn, Twitter, Threads

Marily Nika

Top audience: Product Managers, General AI Enthusiasts
Why I follow them: AI for PMs and insights on AI tools
Usual Location: San Francisco

LinkedIn, Twitter, Marily Nika’s AI Product Newsletter, Course

Zvi Mowshowitz

Top audience: General AI Enthusiasts, X-risk folk
Why I follow them: His mastery of Lesswrong

LinkedIn, Twitter, Don’t Worry About the Vase, LessWrong

Azeem Azhar

Top audience: General AI Enthusiasts
Why I follow them: Macro Trend analysis

LinkedIn, Twitter, Exponential View
Website, Bloomberg Originals Series

Maxime Labonne

Top audience: Machine Learning Researcher.
Why I follow them: One of my go-to sources for open-source AI news.

LinkedIn, Substack
Twitter, Blog, LLM Course

Damien Benveniste

Top audience: Software Engineers learning about ML
Why I follow them: Great Newsletter with additional Courses that are affordable
Usual Location: Long Beach, California

LinkedIn, Twitter, The AiEdge Newsletter, Courses, Substack

Sebastian Raschka

Top audience: Software Engineer
Why I follow them: To learn about Generative AI in practice

LinkedIn, Twitter, Ahead of AI, Build a Large Language Model (From Scratch), Substack

Luiza Jarovsky

Top audience: General AI Enthusiasts, AI policy folk
Why I follow them: AI at intersection of Policy & Regulation, Breaking News

LinkedIn, Twitter. Luiza’s Newsletter, LinkedIn Newsletter, Website, Substack

François Chollet

Top audience: ML Researchers
Why I follow them: His realistic view of AGI

LinkedIn, Twitter, Sparks in the Wind
"OpenAI has set back the progress towards AGI by 5-10 years. They caused this complete closing down of frontier research publishing and now LLMs have essentially sucked the oxygen out of the room, like everyone is doing LLMs"

Matt Wolfe

Top audience: General AI Enthusiasts
Why I follow them: Most for his YouTube (600k)

LinkedIn, Twitter, YouTube, Website

Andriy Burkov

Top audience: General AI Enthusiasts
Why I follow them: Academic references to studies, OpenAI Evangelism, His tinkering, a certain flavor of techno-optimism

LinkedIn, Twitter, The Hundred-Page Machine Learning Book(BOOK), True Positive Weekly

Ethan Mollick

Top audience: Software Engineers
Why I follow them: Minimalist Newsletters, brevity, clarity

LinkedIn, Twitter, Co-Intelligence: Living and Working with AI Hardcover(BOOK)
One Useful Thing, Centaurs and Cyborgs on the Jagged Frontier(essay), How to Use AI to Do Stuff: An Opinionated Guide(essay), What OpenAI did(essay)

David Ha

Top audience: ML Scientists
Why I follow them: One of the top “minds in AI”
Usual Location: Japan

LinkedIn, Twitter, Threads, Reddit,

Melanie Mitchell

Top audience: AI General Enthusiasts
Why I follow them: Debunking, clarity, real insight
Usual Location: Santa Fe, New Mexico

LinkedIn, Twitter, AI: A Guide for Thinking Humans ⭐ (2019)(BOOK), AI: A Guide for Thinking Humans,

Risto Uuk

Top audience: Government Workers, AI General Enthusiasts
Why I follow them: Intersection of AI and Regulation/Policy
Usual Location: Brussels, Belgium

LinkedIn, Twitter, The EU AI Act Newsletter

Sahar Mor

Top audience: Software Engineer
Why I follow them: Breaking News on recent launches
Top Posts or Newsletter Articles:
Usual Location: San Francisco, California

LinkedIn, Twitter, Newsletter: AI Tidbits, Substack: Sahar Mor

Jeremy Caplan

Top audience: General AI Enthusiasts
Why I follow them: Mostly for AI Tool insights

LinkedIn, Twitter, Website,
Newsletter: Wonder Tools, Threads, Jeremy Caplan

Benedict Evans

Top audience: General AI Enthusiast
Why I follow them: Mostly insights into historical macro context of BigTech

Website, LinkedIn, Threads, Newsletter

Paris Marx

Top audience: General AI Enthusiasts, skeptics
Why I follow them: The BigTech backlash content

LinkedIn, Twitter, Newsletter, Mech, Podcast, YouTube, Threads, Substack: Paris Marx

Aishwarya Naresh Reganti

Top audience: Software Engineers
Why I follow them: Education about Gen AI

LinkedIn, Github: Awesome Generative AI Guide, Substack: Aishwarya Naresh Reganti, too many to cite

Arvind Narayanan

Top audience: General AI Enthusiasts
Why I follow them: Researcher based criticism, journalism
Top Posts or Newsletter Articles:
Usual Location: Princeton, New Jersey

LinkedIn, Twitter, Newsletter: AI Snake Oil, Substack, and additional Substack : Sayash Kapoor

Nathan Lambert

Top audience: General AI Enthusiasts, ML Researchers
Why I follow them: High level insights into RLHF, macro insights
Top Posts or Newsletter Articles:
Usual Location: Oakland

LinkedIn, Twitter, The Retort AI Podcast, Newsletter: Interconnects, Nathan Lambert

Elvis Saravia

Top audience: Machine Learning Researcher
Why I follow them: Mostly for AI paper summaries
Top Posts or Newsletter Articles:

LinkedIn, Twitter, Threads, NLP Newsletter, Maven Course, Link Tree, YouTube, elvis

Kelvin Mu

Top audience: Investors, VCs, General AI Enthusiasts
Why I follow them: For macro insights, infographics on Gen AI
Top Posts or Newsletter Articles:

LinkedIn, Twitter, AI Musings by Mu, Kelvin Mu

Martin Crowley

Top audience: General AI Enthusiasts
Gumroad (free)
Why I follow them: Mostly for AI tool insights
Top Posts or Newsletter Articles:

LinkedIn, Twitter, AI Tool Report, Skool Learning Community

Ahsen Khaliq

Top audience: ML Researchers, Software Engineers
Why I follow them: AI papers coverage only, Open-source news

LinkedIn, Twitter, AK’s Newslette, Github, AK

Matthew Lynley

Top audience: General AI Enthusiasts, Workers in Tech
Why I follow them: More nuanced journalism, off the beaten track synthesis
Usual Location: San Francisco, California

LinkedIn, Twitter, Supervised, Matthew Lynley

Gary Marcus

Top audience: General AI Enthusiasts, skeptics
Why I follow them: Mostly for topic choice, uncomfortable truths

LinkedIn, Twitter, Marcus on AI, ebooting AI: Building Artificial Intelligence We Can Trust(BOOK), Gary Marcus

Daniel Jeffries

Top audience: General AI Enthusiasts
Why I follow them: The Creative range, deep dives

LinkedIn, Twitter, Future History, Daniel Jeffries

Louis-François Bouchard

Top audience: ML Engineers

Website, LinkedIn, Twitter, YouTube, What’s AI Newsletter, Making AI Accessible, Towards AI Newsletter, High Learning Rate, Learn AI Together, Louis-François Bouchard

[YunSeok-Kang]

테크 블로그

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Google DeepMind
MIT News
Google Research
Machine Learning Mastery
OpenAI
NVIDIA
Microsoft
BAIR (BERKELEY ARTIFICIAL INTELLIGENCE RESEARCH)
David Stutz(개인)

YouTube

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Two Minute Papers
안될공학
혁펜하임 | AI & 딥러닝 강의
팡요랩 Pang-Yo Lab

독립 사이트

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Radiance Fields
Hugging Face - Daily Papers

[deliciouscat]

Reddit

r/LocalLLaMA: sLLM 관련 정보 위주지만, 다른 정보들도 유통됩니다.

오픈채팅

고양이의 머신러닝 연구방: 아카데믹한 지식 공유(입장 비번은 오프에서 물어봐주세요)

링크드인
Jin Joong Kim: AI 관련해서 광범위한 주제 다루십니다.
Yitae (Hardy) Jeong: Graph 관련 글을 많이 쓰세요.(PseudoLab 활동도 하시고요!)

유튜브

귓속말의 자막나라: 각종 발표들 기계번역해서 합니다.

[stats-dev]

GraphRAG 레퍼런스

Microsoft

• GraphRAG: New tool for complex data discovery now on GitHub (https://www.microsoft.com/en-us/research/blog/graphrag-new-tool-for-complex-data-discovery-now-on-github/)
• GitHub repository (https://github.com/microsoft/graphrag)
• GitHub: Responsible AI FAQ (https://github.com/microsoft/graphrag/blob/main/RAI_TRANSPARENCY.md#what-is-graphrag)

정이태님 자료

From RAG to GraphRAG , What is the GraphRAG and why i use it? (https://jeongiitae.medium.com/from-rag-to-graphrag-what-is-the-graphrag-and-why-i-use-it-f75a7852c10c)

arXiv 논문

• From Local to Global: A Graph RAG Approach to Query-Focused Summarization (https://arxiv.org/abs/2404.16130)

전체 출처

Paris AI Society 링크드인 게시물
(https://www.linkedin.com/posts/paris-ai-society_graphrag-ai-machinelearning-activity-7214945112869474304-NHCB?utm_source=share&utm_medium=member_desktop)

[hojie11]

Reddit

• r/openai : openai, GPT 등과 관련된 정보 공유
• r/artificial : ai 분야 최근 정보 공유
• r/ArtificialInteligence : ai를 활용한 방법? 기술?을 포함한 넓은 분야의 정보 공유

독립사이트

• huggingface daily papers

[HangryDev]

1. Andrej Karpathy
   Twitter: @karpathy

Newsletter: Not updated: Blog: https://karpathy.github.io/

YouTube: https://www.youtube.com/@andrejkarpathy

Top audience: Software Engineers

Why I follow them: Mostly his time at Tesla, YouTube tutorials

Top Posts or Newsletter Articles:

Usual Location: Stanford, California

Website: https://karpathy.ai/

Recent Thoughts on Podcast

2. Dwarkesh Patel
   LinkedIn: NA

Twitter: @dwarkesh_sp

YouTube: https://www.youtube.com/c/DwarkeshPatel

Spotify Podcast: Dwarkesh Patel on Spotify

Apple Podcast: Dwarkesh on Apple

Newsletter: Dwarkesh Podcast

Dwarkesh Podcast

Why I follow them: strictly AI related Interviews

Top Posts or Newsletter Articles:

Usual Location: San Francisco, California

Subsack: Dwarkesh Patel

3. Philipp Schmid
   LinkedIn: https://www.linkedin.com/in/philipp-schmid-a6a2bb196/

Twitter: @_philschmid

Newsletter: Blog: https://www.philschmid.de/

Top audience: ML Researchers

Why I follow them: For Open-source LLM news ONLY

Top Posts or Newsletter Articles: NA

Hugging Face Posts: https://huggingface.co/posts

4. Linxi ‘Jim’ Fan
   LinkedIn: https://www.linkedin.com/in/drjimfan/

Twitter: @DrJimFan

Threads: https://www.threads.net/@dr.jimfan

Newsletter: NA

Ted Talk: The Next Grand Challenge in AI

Top audience: AI Enthusiasts

Why I follow them: Mostly insights on Robotics & Agentic AI, Videos

Top Posts or Newsletter Articles:

5. Marily Nika
   LinkedIn: https://www.linkedin.com/in/marilynika/

Twitter: @marilynika

Newsletter: Marily Nika’s AI Product Newsletter

Top audience: Product Managers, General AI Enthusiasts

Why I follow them: AI for PMs and insights on AI tools

Top Posts or Newsletter Articles:

Usual Location: San Francisco

Course: https://maven.com/marily-nika/ai-pm-bootcamp

Substack: Marily Nika

6. Zvi Mowshowitz
   LinkedIn: https://www.linkedin.com/in/zvi-mowshowitz-27764419/

Twitter: @TheZvi
Newsletter: Don’t Worry About the Vase

Don't Worry About the Vase
Top audience: General AI Enthusiasts, X-risk folk

LessWrong: https://www.lesswrong.com/users/zvi

Why I follow them: His mastery of Lesswrong

Top Posts or Newsletter Articles:

Substack: Zvi Mowshowitz

7. Azeem Azhar
   LinkedIn: https://www.linkedin.com/in/azhar/
   Twitter: @azeem
   Newsletter: Exponential View
   Top audience: General AI Enthusiasts
   Why I follow them: Macro Trend analysis
   Top Posts or Newsletter Articles:
   Substack: Azeem Azhar
   Website: https://www.azeemazhar.com/
   (Keynote Speaker)
   Bloomberg Originals Series: https://www.bloomberg.com/exponentially-series

8. Maxime Labonne
   LinkedIn: https://www.linkedin.com/in/maxime-labonne/

Substack ID: Maxime Labonne
Twitter: @maximelabonne
Newsletter: (Inactive: Maxime Labonne)
Top audience: Machine Learning Researcher.
Why I follow them: One of my go-to sources for open-source AI news.
Blog: https://mlabonne.github.io/blog/
LLM Course: https://github.com/mlabonne/llm-course
Top Posts or Newsletter Articles:

9. Damien Benveniste
   LinkedIn: https://www.linkedin.com/in/damienbenveniste/
   Twitter: @DamiBenveniste
   Newsletter: The AiEdge Newsletter

Top audience: Software Engineers learning about ML
Why I follow them: Great Newsletter with additional Courses that are affordable
Top Posts or Newsletter Articles:
Usual Location: Long Beach, California
Courses: https://learn.theaiedge.io/courses/
Substack: Damien Benveniste

10. Sebastian Raschka
    LinkedIn: https://www.linkedin.com/in/sebastianraschka/
    Twitter: @rasbt
    Newsletter: Ahead of AI

Top audience: Software Engineer
Why I follow them: To learn about Generative AI in practice
Top Posts or Newsletter Articles:
Book: Build a Large Language Model (From Scratch)
Substack: Sebastian Raschka, PhD

11. Luiza Jarovsky
    LinkedIn: https://www.linkedin.com/in/luizajarovsky/
    Twitter: @LuizaJarovsky
    Newsletter: Luiza’s Newsletter
    Top audience: General AI Enthusiasts, AI policy folk
    Why I follow them: AI at intersection of Policy & Regulation, Breaking News
    Top Posts or Newsletter Articles:
    LinkedIn Newsletter: https://www.linkedin.com/newsletters/luiza-s-newsletter-6932344013358276608/

Website: https://www.aitechprivacy.com/
Substack: Luiza Jarovsky

12. François Chollet
    LinkedIn: https://www.linkedin.com/in/fchollet/
    Twitter: @fchollet
    Newsletter: Sparks in the Wind
    Top audience: ML Researchers
    Why I follow them: His realistic view of AGI
    Top Posts or Newsletter Articles:
    Subsack: François Chollet
    "OpenAI has set back the progress towards AGI by 5-10 years. They caused this complete closing down of frontier research publishing and now LLMs have essentially sucked the oxygen out of the room, like everyone is doing LLMs"

13. Matt Wolfe
    LinkedIn: https://www.linkedin.com/in/matt-wolfe-30841712/
    Twitter: @mreflow

Newsletter: Future Tools

Top audience: General AI Enthusiasts

Why I follow them: Most for his YouTube (600k)

YouTube channel: https://www.youtube.com/@mreflow

Top Posts or Newsletter Articles:

Website: Future Tools io

14. Andriy Burkov
    LinkedIn: https://www.linkedin.com/in/andriyburkov/
    Twitter: @burkov
    Book: https://www.amazon.com/Hundred-Page-Machine-Learning-Book-ebook/dp/B09Q15C9CQ?ref_=ast_author_mpb
    Newsletter: Artificial Intelligence (800k +), Data Science, True Positive Weekly
    Top audience: General AI Enthusiasts

Why I follow them: Academic references to studies, OpenAI Evangelism, His tinkering, a certain flavor of techno-optimism

Top Posts or Newsletter Articles:

Centaurs and Cyborgs on the Jagged Frontier

How to Use AI to Do Stuff: An Opinionated Guide

What OpenAI did

Book: Co-Intelligence: Living and Working with AI Hardcover

Substack: Ethan Mollick
Top audience: Software Engineers
Why I follow them: Minimalist Newsletters, brevity, clarity

Top Posts or Newsletter Articles:
Substack: True Positive Weekly

15. Ethan Mollick
    LinkedIn: https://www.linkedin.com/in/emollick/

Twitter: @emollick

Newsletter: One Useful Thing

16. David Ha
    LinkedIn: https://www.linkedin.com/in/hardmaru/
    Twitter: @hardmaru
    Newsletter: Podcast Appearance (about 1 year ago)
    Top audience: ML Scientists
    Why I follow them: One of the top “minds in AI”
    Threads: https://www.threads.net/@hardmaru
    Reddit: https://www.reddit.com/user/hardmaru/
    Top Posts or Newsletter Articles:
    Usual Location: Japan

17. Melanie Mitchell
    LinkedIn: https://www.linkedin.com/in/melanie-mitchell-08a04a6/
    Buy the Book: AI: A Guide for Thinking Humans ⭐ (2019)
    Twitter: @MelMitchell1
    Newsletter: AI: A Guide for Thinking Humans

Top audience: AI General Enthusiasts
Why I follow them: Debunking, clarity, real insight
Top Posts or Newsletter Articles:
Usual Location: Santa Fe, New Mexico
Substack: AI: A Guide for Thinking Humans

18. Risto Uuk
    LinkedIn: https://www.linkedin.com/in/ristouuk/
    Twitter: @RistoUuk
    Newsletter: The EU AI Act Newsletter
    Top audience: Government Workers, AI General Enthusiasts
    Why I follow them: Insterection of AI and Regulation/Policy
    Top Posts or Newsletter Articles:
    Usual Location: Brussels, Belgium
    Substack: Risto Uuk

[HangryDev]

아카라이브 LLM 채널! 생각보다 유용하네요

[HangryDev]

6회차 모임 (8/17) 찾은 자료들입니다!
대댓글로 글을 남겨주세요

[Garurubi]

입문

https://genai-handbook.github.io/ - GenAI Handbook
https://www.boostcourse.org/ - Naver에서 무료로 제공하는 강의
https://www.deeplearning.ai/ - Andrew Ng이 설립한 AI 교육 플랫폼

빅 테크 블로그

https://openai.com/news/ - OpenAI 테크 블로그
https://developer.nvidia.com/blog/ - Nvidia 테크 블로그
https://www.microsoft.com/en-us/research/ - Microsoft 테크 블로그
https://deepmind.google/discover/blog/ - Google 테크 블로그

who to follow in AI 2024

https://x.com/karpathy/ - Andrej Karpathy
https://www.linkedin.com/in/marilynika/ - Marily Nika
https://www.linkedin.com/in/philipp-schmid-a6a2bb196/ - Philipp Schmid
https://www.linkedin.com/in/drjimfan/ - Jim Fan
https://www.linkedin.com/in/maxime-labonne/ - Maxime Labonne
https://www.linkedin.com/in/sebastianraschka/ - Sebastian Raschka

한글 자료

https://discuss.pytorch.kr/c/news/14 - pytorch 한국 커뮤니티
https://arca.live/b/alpaca - sLLM 관련 정보를 다루는 커뮤니티

- LinkedIn
https://www.linkedin.com/in/golbin/ - Jin Joong Kim님(AI 관련해서 광범위한 주제를 다룸)
https://www.linkedin.com/in/yitaejeong/ - 정이태님(Graph관련 주제들을 다룸)

- Youtube
https://www.youtube.com/@ENDPLAN - AI 관련 최신 기술들을 다루는 채널 
https://www.youtube.com/@unrealtech - IT 및 테크 신기술들을 다루는 채널

영문 자료

- LinkedIn
https://www.linkedin.com/in/areganti/recent-activity/all/ - LLM에 대한 기술들을 다룸

- Reddit
https://www.reddit.com/r/LocalLLaMA/ - sLLM 관련 정보를 다루는 포럼
https://www.reddit.com/r/OpenAI/ - OpenAI 관련 정보를 다루는 포럼
https://www.reddit.com/r/artificial/ - AI의 전반적인 뉴스들을 다루는 포럼

- Youtube
https://www.youtube.com/@AIJasonZ
https://www.youtube.com/@customaistudio
https://www.youtube.com/@AllAboutAI

논문 관련

https://www.scholar-inbox.com/ - 논문 개인화 추천해주는 사이트
https://huggingface.co/papers - Huggingface에서 최신 논문을 소개하고 토론하는 플랫폼

- Youtube
https://www.youtube.com/@TwoMinutePapers - AI와 컴퓨터 그래픽스 연구 논문을 다루는 채널
https://www.youtube.com/@hyukppen/videos - 선형대수학, 강화학습 등의 수학 강의 채널

[yukyeongmin]

3blue1brown 시각화를 기깔나게 해주는 수학개념설명 채널이에요.