Jev technical blog and early access
The end of Diogo’s launch thread links to the official technical blog and early-access entry point for further reading.
tab-jev: A Jev-like Model Combined with a Tabular Foundation Model for In-Context Learning
Introducing tab-jev: a project combining a Jev-like model with a tabular foundation model (e.g., TabPFN) for in-context learning from a few labeled rows of text and tabular data. It targets real industry datasets that mix tabular and text data. Includes a GitHub link.
tab-jev: jev-like model + tabular foundation model = an in-context learner for your text & tabular data. https://github.com/edamame-labs/tab-jev… 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
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