3 ms·
"Do you think you need to do high/medium/low amount of thinking to answer X?" seems well within an LLMs wheelhouse if the goal is to build an optimized routing
by fny 1y ago
"Do you think you need to do high/medium/low amount of thinking to answer X?" seems well within an LLMs wheelhouse if the goal is to build an optimized routing engine.
- nutjob2 1y agoHow do you think that an LLM could come by that information? Do you think that LLM vendors are logging performance and feeding that back into the model or some other mechanism?
- deleted 1y ago[deleted]
- lillecarl 1y agoYes, that's why they keep getting better and why Anthropic is switching privacy policy defaults to eat my data please.
- adtac 1y agoWhy not something dumb like this: https://chatgpt.com/share/68b60199-b6ac-8009-b50d-3e7cfff1d720 https://chatgpt.com/share/68b60199-b6ac-8009-b50d-3e7cfff1d7... (gpt-4o)