Articles for tag jev

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  Would Fine-Tuning Have Beaten Jev? 16 Oct 2026

  The third post in my series on describing a classifier with Jev versus training one. This time I fine-tuned BERT on the same Jigsaw toxicity comments. With enough labels it ranks toxic comments better than Jev and the cloud-embedding models, but it needs about 500 labels to pass Jev, a GPU to train, and it misses almost every comment on the two rarest labels.

  • jev
  • classification
  • machine-learning
  • pytorch
  • bert
  • fine-tuning
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  The Bouncer's Dilemma: Jev, k-NN, and MLP for Comment Moderation 13 Oct 2026

  In my last post, I skipped training a spam classifier and used Jev instead. Here, I compare Jev with a neural network and k-NN built from thousands of labeled comments in the Jigsaw toxicity dataset: how accurate each one is, how many labels they need, and what they cost to run.

  • jev
  • system-one
  • decision-model
  • classification
  • machine-learning
  • pytorch
  • vector-search
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  Fighting Comment Spam Without Training a Model 11 Oct 2026

  Struggling with comment spam but lack the data for traditional AI? Uncover an ingenious method to automatically filter blog spam without the need for extensive datasets, complex machine learning models, or costly hosting. Learn how a blogger dramatically reduced manual moderation by using an innovative "System One" AI to define spam in plain language, offering an efficient, low-overhead solution for content creators facing similar challenges.

  • jev
  • spam
  • ai
  • system-one
  • decision-model
  • classification