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Blogs

12-10-2026  |  Generative AI: Tokenization & decoding (Chapter 2)  |  3 min read
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The one job of a language model: predict the next token

Strip away the hype and a large language model has exactly one job: look at the text so far and predict the next token. Everything it can do is built on that single skill...

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12-10-2026  |  Generative AI: Tokenization & decoding (Chapter 2)  |  3 min read
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Not every language pays the same price

Here is a sentence a delivery company might send: “The invoice will be paid next Friday.” Same meaning, five languages. How many tokens does each one cost?

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12-10-2026  |  Generative AI: Tokenization & decoding (Chapter 2)  |  3 min read
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Byte-pair encoding by hand: six merges

Where do those subword pieces come from? From an almost embarrassingly simple procedure called byte-pair encoding, or BPE: start with letters, and keep gluing together th...

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12-10-2026  |  Generative AI: Tokenization & decoding (Chapter 2)  |  3 min read
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Why language models read tokens, not words

Hand a model the word “unbelievable” and ask it to read. What should it look at: the letters, the whole word, or something in between? That choice, made before any learni...

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12-10-2026  |  Generative AI: Transformer on-ramp (Chapter 1)  |  3 min read
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The transformer block: putting the pieces together

Now we put the pieces together. A transformer is not a mystery: it is one small block repeated many times. If you followed Parts 1 to 7, you already know every part of it...

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12-10-2026  |  Generative AI: Transformer on-ramp (Chapter 1)  |  3 min read
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Positional encoding: teaching attention about word order

Attention treats a sentence like a bag of words: shuffle them and nothing changes. Yet “the dog bit the man” and “the man bit the dog” mean very different things. Positio...

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