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2min chapter
Daniel Situnayake: AI on the Edge
The Gradient: Perspectives on AI
How to Train a Model on Streams of Data
In the field on a device, you actually have this continual feed of audio coming in. And then you have a model which is taking samples from that feed and running inference and giving you a result. Sometimes you can train on that streaming context, which is great if you can do that. But it's actually really difficult and expensive to label data sets in that kind of mode,. often, and it's quite a challenge.
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