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Old 12-06-2022, 08:39 AM   #518
PoP
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Quote:
Originally Posted by xxyzz View Post
For "better" I mean is the GPU model "smarter" than the CPU model. For instance, does the GPU model produces less nonsense X-Ray names or can it detect names that CPU model can't find?
Very subjectively, It doesn't appear smarter to me, it is marginally different and remains as useful. No blatant nonsense in either version.

Judge yourself by comparing these CPU/GPU screenshots:

Peoples:
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ID:	198220Click image for larger version

Name:	GPU0.png
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ID:	198225
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Name:	CPU1.png
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ID:	198221Click image for larger version

Name:	GPU1.png
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ID:	198226
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ID:	198222Click image for larger version

Name:	GPU2.png
Views:	143
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ID:	198227

Places:
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Name:	CPU3.png
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ID:	198223Click image for larger version

Name:	GPU3.png
Views:	147
Size:	53.7 KB
ID:	198228

Images:
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Name:	CPU4.png
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ID:	198224Click image for larger version

Name:	GPU4.png
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ID:	198229

[EDIT 18:42] the The chatGPT Bot seems to think so:
Spoiler:
Code:
Is spacy cuda model smarter and more accurate than the cpu model?

Yes, the CUDA version of spaCy is generally faster and more accurate than the CPU version because it can take advantage of the parallel processing capabilities of a CUDA-enabled GPU. This can lead to significant performance improvements for certain types of operations, especially when working with large amounts of text data. However, the CPU version of spaCy can still be a good choice for certain scenarios, such as when using a machine that does not have a CUDA-enabled GPU or when the amount of data being processed is not large enough to benefit from the additional performance of the CUDA version. It ultimately depends on your specific use case and requirements.

Last edited by PoP; 12-06-2022 at 06:46 PM.
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