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Jev in 25 Lines of Python

Source
bashbjorn
Author
bashbjorn
Date
Terms in this piece · Glossary
  • fine-tuningTaking a trained model and training it a bit more on your own examples so it gets better at one specific job.
  • LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
  • tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
Why it matters

Shows how to build a fast, local classifier from any small 's logits in about 25 lines, an alternative to calling a hosted classification API or training a dedicated model.

Read the source www.nobodywho.ai
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