Kodiak is an encoder-only "System One" decision model by Cortex Agent LLC: a state (text, list of texts, or JSON) plus typed questions in, calibrated answers out, in one forward pass. Choice answers are always one of your labels, scores stay inside your range, and every question can come back as "not answerable from this state" with its own probability. The large model beats every open zero-shot classifier we tested on never-seen tasks (release criterion 1; decision D33). Details: - Run b-base-s1-v2-s1 (seed 1 of three, chosen by validation loss, not the eval set), step 6000. ModernBERT-large backbone (Apache-2.0). Calibration temperatures baked in; default abstain threshold from…
Organization
Cortex Agent LLC
cortex-agent-llc
Models in Library2
Datasets in Library0
Models on Hugging Face3
Followers1
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Models
Kodiak is an encoder-only "System One" decision model by Cortex Agent LLC: a state (text, list of texts, or JSON) plus typed questions in, calibrated answers out, in one forward pass. Choice answers are always one of your labels, scores stay inside your range, and every question can come back as "not answerable from this state" with its own probability. Trained on the public datasets plus Generator v2 synthetic data (9,137 training examples): a 971-document-type taxonomy, ~45% real web passages, questions labeled stated / inferred / unanswerable, and two AI critics. Compared with the same model trained on the v1 synthetic data at equal size, averaged over three training runs each: So v2…