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Use case collection 17

Each story comes from a model user and appears after administrator approval.

CASE STUDY

Flagging suspicious emails: spam and phishing

As part of my tests, I have tried flagging suspicious emails. At the moment, I am testing the model (4.5M) on a Mac M1 and it runs rather slowly — 17 seconds per request — although this may be down to that particular hardware.

CASE STUDY

Categorising food products from their name and brand

I am testing basal-1.0-4.5B as a food-product classifier. The model receives only the product name and brand, then chooses one of eight categories described in plain text in the request, such as “dairy and eggs”, “snacks”, “ready…

Tom SmialowskiRead the story
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