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Language models for text classification: From bag-of-words to Jev

213 points · 10 comments · Anon84

  1. Moon_Y · · focus · HN ↗
    Really enjoyed the historical framing here. Starting from bag-of-words and working up to Jev makes the “just a classifier” argument much more nuanced. The tradeoff between generality, speed, and cost is probably the most interesting part to me — especially where Jev sits between task-specific classifiers and full LLMs.
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