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How do you decide when a smaller ML model is reliable enough to use instead of an LLM?

I've been looking at a practical question in ML system design. suppose you're building an application that needs to classify incoming requests and route them to different workflows. you could use an LLM for every request, but a smaller encoder might be faster. the problem is knowing when to trust i…

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  1. 2026-10-29 11:49 · r/MLQuestions
    How do you decide when a smaller ML model is reliable enough to use instead of an LLM?

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