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Adjusting Probability distribution Using Speculative Decoding [D] (alien.top)

submitted 9 months ago by 1azytux@alien.top to c/machinelearning@academy.garden

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Hi, as Speculative Decoding runs a small model and a large model at the same time with a sampler in between, but in this instance the sampler's job is to NOT skew the probability distributions while doing so. There's a fairly simple python implementation of this idea here. Is there a way we can adjust the probability distributions of either the small model or the large model for the task of generation?

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[–] CatalyzeX_code_bot@alien.top 1 points 9 months ago

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