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kodoman • yesterday at 11:22 PM • 2 replies • view on HN

Interesting how do you know if it does a good job at these tasks? It seems that thinking in LLM's has been one of the things that has been so important to making sure it's a good response.


Replies

roncesvalles • today at 12:53 AM

It doesn't. Decision models are not more accurate than small models with no thinking. If your classification task is accuracy sensitive, you still need to stick with one of the big frontier models.

hmcdona1 • today at 12:34 AM

When the use case allows room for an acceptable amount of incorrect decisions because there's a manual flow those cases can be routed to still anyways.