| ▲ | zwily 5 hours ago |
| Anything you can do in Jev can be done with an LLM at much greater cost and latency. |
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| ▲ | mmnfrdmcx 5 hours ago | parent [-] |
| Agree, except the probabilities for outcomes in the structured output. I don't think you can get those for most frontier LLMs (logprobas). You can get it for open source models but not frontier LLMs. |
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| ▲ | esafak 4 hours ago | parent [-] | | That number is a big deal, assuming it is well calibrated. Did they talk about calibration? | | |
| ▲ | Matticus_Rex 3 hours ago | parent [-] | | I've seen them talk about it a bit on Twitter -- it seems to be fairly well-calibrated in general, but obviously you need to test it on your use case and dial it in comparison with known data for best results. |
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