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Jev vs BERT : classer, router, taguer avec le modèle de TypeSafe AI

Didier Sampaolo demonstrates Jev on support tickets, batch classification, and blog tags. He contrasts its zero-shot setup with a trained classifier and proposes testing alternative category trees before reorganizing a product catalog.

Original by LVLUPClassificationIntermediate17 min 51 sec Published Source reviewed

Before you press play

What you’ll find in the video

  1. The demonstration supplies criteria for binary probabilities, category choices, and ordered scores without first labelling a training dataset.
  2. Jev selects or scores supplied candidates rather than generating arbitrary text or discovering unrestricted entity names.
  3. Didier proposes running classification simulations across competing product taxonomies before choosing a catalog structure.
Worth knowing

Gemini-assisted video/transcript review. The presenter raises privacy and GDPR questions about sending customer text to a provider. This review does not establish the provider’s current hosting, contractual terms, or legal compliance.

Jev vs BERT : classer, router, taguer avec le modèle de TypeSafe AI