Bespoke Nimble

A developer is testing Bespoke Nimble, a small decision model run locally through Ollama. The model takes evidence, a question and a set of allowed answers at request time, meaning the same model can handle many classification tasks without retraining. The author is comparing it with another model called Jev in a write-up, and interest centres on whether compact local models can replace task-specific trained classifiers.