- 분류 전체보기 (544)
- 🌳AI Project Mastery Bootcamp 2024✨ (20)
- 🌳Higher Ed Chronicles🎓✨ (1)
- 🌳Coursework Insights🪄✨ (24)
- 🌳Computer Vision Odyssey🍀😊✨ (16)
- 🌳Principles of Computer Vision✨ (0)
- 🌳AI Career Paths🛤️✨ (10)
- 🌳AI Learning🛤️✨ (50)
- 🧸Growth Chronicles✨ (12)
- 🌳AI Projects: NLP🍀✨ (32)
- 🌳Higher Ed Archives🎓✨ (0)
- ✨✨✨✨✨✨✨✨✨✨ (0)
- 🌳Bootcamp Revision 2023✨ (88)
- 🌳Job Search Resources✨ (23)
- 💻Bootcamp Self-Study Revision✨ (99)
- 💖My Bootcamp Projects Logs✨ (112)
- 🌳List of Materials✨ (57)
- 🌳AI Project Mastery Bootcamp 2024✨ (20)
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | |||||
| 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| 10 | 11 | 12 | 13 | 14 | 15 | 16 |
| 17 | 18 | 19 | 20 | 21 | 22 | 23 |
| 24 | 25 | 26 | 27 | 28 | 29 | 30 |
- Absolute
- AGI
- ai
- AI agents
- AI engineer
- AI researcher
- ajax
- algorithm
- Algorithms
- aliases
- Array 객체
- ASI
- bayes' theorem
- Bit
- Blur
- BOM
- bootstrap
- canva
- challenges
- ChatGPT
- Today
- In Total
A Joyful AI Research Journey🌳😊
Key Links to Understanding Transformers in NLP 본문
Key Links to Understanding Transformers in NLP
yjyuwisely 2024. 8. 20. 07:00Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Go-mez, Lukasz Kaiser, Illia Polosukhin, 2017, Attention Is All You Need, https://arxiv.org/abs/1706.03762
Attention Is All You Need
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new
arxiv.org
Hugging Face Transformer Usage: https://huggingface.co/transformers/usage.html
Quick tour
Get up and running with 🤗 Transformers! Whether you’re a developer or an everyday user, this quick tour will help you get started and show you how to use the pipeline() for inference, load a pretrained model and preprocessor with an AutoClass, and qui
huggingface.co
Tensor2Tensor (T2T) Introduction: https://colab.research.google.com/github/tensorflow/tensor2tensor/blob/master/tensor2tensor/notebooks/hello_t2t.ipynb?hl=en
Google Colab Notebook
Run, share, and edit Python notebooks
colab.research.google.com
Manuel Romero Notebook with link to explanations by Raimi Karim: https://colab.research.google.com/drive/1rPk3ohrmVclqhH7uQ7qys4oznDdAhpzF
basic_self-attention .ipynb
Colaboratory notebook
colab.research.google.com
Google language research: https://research.google/teams/language/
Language – Google Research
Our team comprises multiple research groups working on a wide range of natural language understanding and generation projects. We pursue long-term research to develop novel capabilities that can address the needs of current and future Google products. We p
research.google
Hugging Face research: https://huggingface.co/transformers/index.html
🤗 Transformers
Reinforcement learning models
huggingface.co
The Annotated Transformer: http://nlp.seas.harvard.edu/2018/04/03/attention.html
The Annotated Transformer
———————- There is now a new version of this blog post updated for modern PyTorch. ———————- from IPython.display import Image Image(filename='images/aiayn.png') The Transformer from “Attention is All You Need” has been on a l
nlp.seas.harvard.edu
Jay Alammar, The Illustrated Transformer: http://jalammar.github.io/illustrated-transformer/
The Illustrated Transformer
Discussions: Hacker News (65 points, 4 comments), Reddit r/MachineLearning (29 points, 3 comments) Translations: Arabic, Chinese (Simplified) 1, Chinese (Simplified) 2, French 1, French 2, Italian, Japanese, Korean, Persian, Russian, Spanish 1, Spanish 2,
jalammar.github.io
'🌳AI Learning🛤️✨ > AI Books and Literature' 카테고리의 다른 글
| Fundamental and comprehensive textbooks in the field of Natural Language Processing (NLP) (0) | 2024.08.17 |
|---|---|
| Understanding Deep Learning (0) | 2024.07.10 |
| 유발 하라리에게 묻다. <호모 데우스> 10문 10답 (2) | 2024.03.15 |
| Exploring the Future of AI with Tim Urban: A Journey through 'The AI Revolution' Series (2015) (1) | 2023.12.02 |
