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Most of what is here started as something I did not understand well enough. I read about it, tried it, got it wrong, and then wrote it down until the explanation held together. If a post reads clearly, that is usually because the confusion came first.

I write about natural language processing because that is where my day goes: tokenisers, embeddings, models that behave beautifully in a notebook and badly in production. But the explaining interests me as much as the thing being explained. A technical idea that only makes sense to people who already understand it has not really been explained.

So I try to stay concrete. Worked examples ahead of analogies where I can manage it, and an honest note where something is still unclear to me. I would rather leave a question open than close it with a sentence that sounds confident and means nothing.

Some posts are long, some are one idea I could not shake. Take whichever is useful and skip the rest. 🙂