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Most LLMs are not reproducible because the underlying deep neural networks are not. Because that's something LLM creators don't care about. We do, and ours are reproducible, including our GenAI that uses GAN. 
Most LLMs are not reproducible because the underlying deep neural networks are not. Because that's something LLM creators don't care about. We do, and ours are reproducible, including our GenAI that uses GAN. 
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All you have to do is allow the user to specify the seeds of the random number generators involved. First, you need a good random generator you have full control over. Better than numpy.random. See ours, with infinite period and one line of code, faster and better than what's in Python and elsewhere. Here is the link:  
All you have to do is allow the user to specify the seeds of the random number generators involved. First, you need a good random generator you have full control over. Better than numpy.random. See ours, with infinite period and one line of code, faster and better than what's in Python and elsewhere. Here is the link:  
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https://mltblog.com/4fGDLu0
https://mltblog.com/4fGDLu0
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Most LLMs are not reproducible because the underlying deep neural networks are not. Because that's something LLM creators don't care about. We do, and ours are reproducible, including our GenAI that uses GAN. 

All you have to do is allow the user to specify the seeds of the random number generators involved. First, you need a good random generator you have full control over. Better than numpy.random. See ours, with infinite period and one line of code, faster and better than what's in Python and elsewhere. Here is the link:  https://mltblog.com/4fGDLu0




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Fynn Kröger
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Vincent Granville
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