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submitted 4 months ago by lseif@sopuli.xyz to c/programmerhumor@lemmy.ml
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[-] stingpie@lemmy.world 20 points 4 months ago

Can't find the exact source–I'm on mobile right now–but the code for the gpt-2 encoder uses a utf-8 to unicode look up table to shrink the vocab size. https://github.com/openai/gpt-2/blob/master/src/encoder.py

[-] crispy_kilt@feddit.de 3 points 4 months ago

Seriously? Python for massive amounts of data? It's a nice scripting language, but it's excruciatingly slow

[-] stingpie@lemmy.world 6 points 4 months ago

There are bindings in java and c++, but python is the industry standard for AI. The libraries for machine learning are actually written in c++, but use python language bindings. Python doesn't tend to slow things down since machine learning is gpu-bound anyway. There are also library specific programming languages which urges the user to make pythonic code that can be compiled into c++.

this post was submitted on 12 Jun 2024
718 points (98.0% liked)

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