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Would enable running llmsearch for lightning fast frameworks like exllamav2 , vllm
The problem with finding good generation parameters for these frameworks is you don’t get the same result twice, due to how the frameworks are implemented. A function that decides in llmsearch which set of generation parameters should be built with determinism in mind. Some ways of solving this would be - letting the framework run a dataset multiple times through it and use mean & standard deviation to judge which set of generation parameters are better. One other aspect that can be thought of is choosing a different set of generation parameters over the current on only when there is significant delta between the two scores.
There could be other ways that would need to be researched about but the main outcome that solving this issue would drive is, having a better way of performing llmsearch on these fast frameworks.
The text was updated successfully, but these errors were encountered:
Would enable running llmsearch for lightning fast frameworks like
exllamav2
,vllm
llmsearch
which set of generation parameters should be built with determinism in mind. Some ways of solving this would be - letting the framework run a dataset multiple times through it and use mean & standard deviation to judge which set of generation parameters are better. One other aspect that can be thought of is choosing a different set of generation parameters over the current on only when there is significant delta between the two scores.llmsearch
on these fast frameworks.The text was updated successfully, but these errors were encountered: