NLP
2026-09-11
N-grams: the language model before language models
How N-grams turn text into countable sequences, how they predict the next word, and why counting eventually stopped being enough.
NLP
2026-09-25
Vectorizing text: from word counts to meaning
How text becomes numbers a model can work with: one-hot vectors, bag of words, TF-IDF, the hashing trick, word embeddings and sentence embeddings, and when to use each.
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