cbjev

Typed decisions — choice, score, noul — about any text or JSON state, from one encoder pass. Every question of a call shares one encoding of the state. Code, benchmarks and training pipeline: https://github.com/tomek7667/cbjev · project page: https://tomek7667.github.io/cbjev/

Both are fine-tuned from the Apache-2.0 Laya checkpoints (laya-typed-decisions and laya-multilingual) on 35 public datasets, in cbjev's shared layout, then calibrated on a held-back dev split. They need the cbjev runtime; transformers alone will not run them.

pip install "git+https://github.com/tomek7667/cbjev"

import cbjev
agent = cbjev.load()           # downloads this repo on first use
agent.predict({"body": "Billed twice for March. Refund today or we cancel."}, {
    "team": {"type": "choice", "instructions": "Which team should handle this?",
             "criteria": {"billing": "invoices, refunds", "technical": "bugs", "other": "anything else"}},
    "churn": {"type": "noul", "instructions": "Does the customer threaten to cancel their subscription?"},
})

Results (RTX 4090, same cases for cbjev and Laya; Jev = published third-party numbers)

Not better everywhere: cbjev trails Laya's better checkpoint on AG News (−0.8), DAIR emotion (−2.5), prompt injection (−3.4) and support triage (−4.0), and Jev's published Banking77 (0.870 vs 0.620). Full tables: BENCHMARKS.md.

License

GPL-3.0-or-later. Fine-tuned from Apache-2.0 Laya checkpoints by Convai Innovations — see NOTICE.