Comment by antonvs
10 hours ago
But as the GP said, you’d likely be better off if you used an LLM to help you train a custom model to do what you’re trying to do.
If you really evaluate the best options, it’s very likely that a Jev-style decision model won’t give the best results.
If you know the exact domain you're working in, then a trained model could potentially do better, but its not a guarantee. For example, I fine-tuned Muse Glimmer on a specific domain and then tested it against Mercury Decide - which I've found does better than Jev - and they were even (and no fine-tuning was done on Mercury). But Mercury Decide was was faster and cheaper. The P95 for latency was about 5.6x lower. Decision models are very, very fast.