What it does
tab-jev combines a Jev-like model with a tabular foundation model for in-context learning over mixed text and tables.
Benchmarks & research
tab-jev
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How you can use it
Your developer can adapt this approach to screen fraud or score sales leads. The app sends rows of text and numbers to two outside AI services. First, the TypeSafe service reads the written text. A second service then uses those reading results and your past examples to predict outcomes.
To start, the developer supplies access keys that connect the app to both services. This default setup sends your information over the internet. If your records must stay private, the developer can run smaller alternatives on your own equipment. These local versions keep data safe but are less capable readers.