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Jeff – Jev-compatible 0.8B decision models, trained at home, ~30 ms

575 points · 225 comments · firelex

  1. vektormemory · · focus · HN ↗
    Can someone remove the extra LLM and just have an embedder do the classifier work?

    It's turning into pimp my llm...

    1. dingody · · focus · HN ↗
      I simply use an embedding model followed by a simple MLP, and that’s enough to solve many text classification problems.
      1. 2gay · · focus · HN ↗
        My little pony ?
        1. fantispug · · focus · HN ↗
          Multi layer perceptron. A tiny neural net.

          Boosted trees over embeddings work surprisingly well too.

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