Post · Data & extraction
tab-jev
A Jev-like model paired with a tabular foundation model.
Open x.com ↗tab-jev: jev-like model + tabular foundation model = an in-context learner for your text & tabular data.
github.com/edamame-labs/t…
Many real industry datasets are a mix of tabular and text data:
- Tabular foundation models like TabPFN learn from a few hundred labeled rows in
The decision Jev makes
Keep or drop a row, assign a label, or select one field value at a time.
Where it fits
Putting Jev next to the data: filtering rows with plain-English conditions, classifying records, labelling datasets and pulling structure out of text one small decision at a time. All 98 data & extraction projects →
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