#How can I measure latency in an AI model?

1 messages · Page 1 of 1 (latest)

fluid cypress
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Also I'd like to know the graph the model follows as it develops and trains, and whether it would be a bell curve or a geometric graph, and if the latency worsens with overtraining.

rocky dawn
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and what thing are the "bell curve" and the "latency" doing with the model?

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fluid cypress
fluid cypress
rocky dawn
fluid cypress
fluid cypress
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Because I've heard when overtraining a voice model, it makes it sound worse, but I'm not sure if it changes the latency

rocky dawn
fluid cypress
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Of course

rocky dawn
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so it won't work anyway

fluid cypress
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Gosh this is most upsetting..

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Well- anyhow, are there any easy to use models you'd recommend?

rocky dawn
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the tensorboard graph isn't like so

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the g/loss graph usually goes down and eventually saturate where there's no noticable improvement as you test the model checkpoints

fluid cypress
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So, if my understanding's correct, the ai voice model becomes worse after overtraining, correct?

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So by logic, it'd follow a graph like this, right?

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But I'm not sure if I'm correct in my assessment on whether the latency worsen or not when developing the AI

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Or rather, the overtraining just becomes "useless" rather than hurt the model itself

rocky dawn
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and how you'd notice overtraining point with it

fluid cypress
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Because I think I can recall a guy some guy talking about how their model got worse after overtraining

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But again, not sure

rocky dawn
rocky dawn
fluid cypress
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I should've probably explained my motive, sorry if I'm being a little difficult

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I'm trying to run an experiment on

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Well my research question is "What is the optimal training duration for an AI voice model to minimize response latency based on a mathematical model of performance in a constant environment with similar internet speed and background activity?"

rocky dawn
rocky dawn
rocky dawn
fluid cypress
rocky dawn
rocky dawn
fluid cypress
rocky dawn
fluid cypress