On-device ML, Generative AI | Sujith Ravi, founder of SliceX AI
Infinite Curiosity Pod with Prateek Joshi
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Machine Learning on the Cloud or on the on Device Space
We try to avoid making any assumptions about the hardware that would be double our solution so our solutions whether it's on the cloud or the on device space we at the base level itself I gave you some stats like we are super fast and we have like 10x 100x faster than the. The word that enables us is like porting over that software onto different types of hardware makes it slightly easier instead of an alternate approach where we say we're going to optimize this for all processors that'll give you an additional sort of X percent or X fold improvement in performance but now what you've done is you've actually created a very custom solution that will work on specific chips if you want to
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