briggers

Machine learning productionization: https://paulbridger.com

Absolutely yes.

I write fairly deep ML performance tuning articles at https://paulbridger.com and the (many) hours I've spent on each article have been hugely worth it.

Many people reach out to me via this work, and when we talk they already see me as an expert or already want to work with me.

I need to blog more, thanks for the reminder.

briggers

4 年前議論

Before you start optimizing runtime performance: measure, trace, inspect, or whatever is appropriate to understand current performance.

briggers

4 年前議論

Perhaps you are looking for something like this?

docker run -d -p 5000:5000 --name registry registry:2

https://docs.docker.com/registry/#:~:text=The%20Registry%20i....

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PyTorch Memory Tuning

PyTorch Performance Features and How They Interact

Wombo Dream: prompt-guided generative art

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