Jev by Example

Recently, TypeSafe AI introduced a new frontier AI model called Jev. What’s unique about this model is that it specializes as a zero-shot classifier. In other words, you can give Jev a question and a fixed set of answer choices and it will tell you which answer choices it thinks are most likely to be correct. You get all of this out of the box without having to fine-tune or train the model on a representative set of examples. Jev is not designed to be a generative model, so it doesn’t output one text token at a time in formulating a response. This means that Jev is no good for tasks like summarizing an email or writing documentation. In contrast, it’s well-suited for tasks like triaging a support ticket, scoring the severity of a bug, or deciding whether an incoming request should be escalated to a human operator. While it’s true that other LLMs can perform these tasks, Jev is built to perform them more efficiently at a lower cost. TypeSafe currently charges $0.042 per million input…

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