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The flagship model of modern deterministic-probabilistic decision engines does not write you a paragraph. It does not tell you a story, apologize for its limitations, or generate a list of caveats. It answers a typed question and hands you back a number.
Originally published on the WebSpeaker blog. In short: We tested Jev, a new model for rapid decisions, as a way to speed up WebSpeaker. Jev made decisions quickly and slightly more accurately than the model we use today. Yet in every variant we tested, visitors waited longer for an answer.
Suppose you’re building a service that receives customer support tickets. Before assigning a ticket, your code needs to answer two questions: Which team should handle it? Does it need urgent attention? You could ask a language model to write an assessment and then parse its response.
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