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An introduction to transformers and their prerequisites Early view of the next chapter for patrons:
https://3b1b.co/early-attentionSpecial thanks to these supporters:
https://3b1b.co/lessons/gpt#thanksTo contribute edits to the subtitles, visit
https://translate.3blue1brown.com/Other recommended resources on the topic. Richard Turner's introduction is one of the best starting places:
https://arxiv.org/pdf/2304.10557.pdfCoding a GPT with Andrej Karpathy
https://youtu.be/kCc8FmEb1nYIntroduction to self-attention by John Hewitt
https://web.stanford.edu/class/cs224n/readings/cs224n-self-attention-transformers-2023_draft.pdfHistory of language models by Brit Cruise:
https://youtu.be/OFS90-FX6pg------------------ Timestamps 0:00 - Predict, sample, repeat 3:03 - Inside a transformer 6:36 - Chapter layout 7:20 - The premise of Deep Learning 12:27 - Word embeddings 18:25 - Embeddings beyond words 20:22 - Unembedding 22:22 - Softmax with temperature 26:03 - Up next ------------------ These animations are largely made using a custom Python library, manim. See the FAQ comments here:
https://3b1b.co/faq#manimhttps://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/
All code for specific videos is visible here:
https://github.com/3b1b/videos/The music is by Vincent Rubinetti.
https://www.vincentrubinetti.comhttps://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly. Mailing list:
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https://www.3blue1brown.comBegin your data professional journey from the basics of statistics to building a production-grade AI application.
Gemini is our most capable and general model, built to be multimodal and optimized for three different sizes: Ultra, Pro and Nano.
ย ย ย ย ย ย Today, we are excited to introduce the Public Preview of Python in Excel โ making it possible to integrate Python and Excel analytics within the..