Data Science, Machine Learning, AI & IOT

An introduction to transformers and their prerequisites Early view of the next chapter for patrons:

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Other recommended resources on the topic. Richard Turner's introduction is one of the best starting places:

Coding a GPT with Andrej Karpathy

Introduction to self-attention by John Hewitt

History of language models by Brit Cruise:

------------------ 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:

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The music is by Vincent Rubinetti.

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