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google has tons of on-device ml. live audio transcriptions, for example. always-on shazam. generative ai is very computationally expensive, even for inference.
by jpalawaga 3y ago
google has tons of on-device ml. live audio transcriptions, for example. always-on shazam.
generative ai is very computationally expensive, even for inference. I too wonder if they can get there, but nobody has really done it.
- kortilla 3y agoIs Shazam considered AI? I thought fingerprinting songs was a relatively straight-forward algo that didn’t require any training.
- ShamelessC 3y agoSort of. They were early to use vector databases for semantic search. Now we use embeddings from a neural net as features for semantic search, I think they used lots of labels and analyzed features like beats per minute, chord progression, etc. happy to be corrected of course.