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My counter-arguments (as a huge PyTorch fan) are:

1. GPT hasn't really been about model/architectural experimentation, just scale. GPT-2 and GPT were architecturally very similar. Scale, especially at the scale of GPT-*, is one avenue that TensorFlow does have an edge over PyTorch 2. Work on GPT-3 probably started quite a while ago.




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