Скачать или смотреть The moment we stopped understanding AI [AlexNet]

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Activation Atlas Posters!
https://www.welchlabs.com/resources/5...
https://www.welchlabs.com/resources/a...
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https://www.welchlabs.com/resources/a...

Special thanks to the Patrons:
Juan Benet, Ross Hanson, Yan Babitski, AJ Englehardt, Alvin Khaled, Eduardo Barraza, Hitoshi Yamauchi, Jaewon Jung, Mrgoodlight, Shinichi Hayashi, Sid Sarasvati, Dominic Beaumont, Shannon Prater, Ubiquity Ventures, Matias Forti

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References
AlexNet Paper
https://proceedings.neurips.cc/paper_...

Original Activation Atlas Article- explore here - Great interactive Atlas! https://distill.pub/2019/activation-a...
Carter, et al., "Activation Atlas", Distill, 2019.

Feature Visualization Article: https://distill.pub/2017/feature-visu...
`Olah, et al., "Feature Visualization", Distill, 2017.`

Great LLM Explainability work: https://transformer-circuits.pub/2024...
Templeton, et al., "Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet", Transformer Circuits Thread, 2024.

“Deep Visualization Toolbox" by Jason Yosinski video inspired many visuals:
   • Deep Visualization Toolbox  

Great LLM/GPT Intro paper
https://arxiv.org/pdf/2304.10557

3B1Bs GPT Videos are excellent, as always:
   • Attention in transformers, step-by-step | ...  
   • Transformers, the tech behind LLMs | Deep ...  

Andrej Kerpathy's walkthrough is amazing:
   • Let's build GPT: from scratch, in code, sp...  

Goodfellow’s Deep Learning Book
https://www.deeplearningbook.org/

OpenAI’s 10,000 V100 GPU cluster (1+ exaflop) https://news.microsoft.com/source/fea...

GPT-3 size, etc: Language Models are Few-Shot Learners, Brown et al, 2020.

Unique token count for ChatGPT: https://cookbook.openai.com/examples/...

GPT-4 training size etc, speculative:
https://patmcguinness.substack.com/p/...
https://www.semianalysis.com/p/gpt-4-...

Historical Neural Network Videos
   • Convolutional Network Demo from 1989  
   • Perceptron Research from the 50's & 60's, ...  

Errata
1:40 should be: "word fragment is appended to the end of the original input". Thanks for Chris A for finding this one.