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2min chapter
Stellar inference speed via AutoNAS
Practical AI: Machine Learning, Data Science, LLM
Why Deep Learning and Deep Learning Practitioners Should Care So Much About Inference?
A lot of effort, and i think screen time, if we want to put it that way, is put on the training side of things. But why do deep learning practitioners need to be concerned about inference? So after thing to be concerned with is the training. After you finish building a model, then you need to deploy it somewhere. It could be in the cloud or in the edge. And when you are going to deploy it and do serving or influrenced scale, you must be concerned or think about how this model is going to perform in terms of ladency or troput.
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