Did you know that generative pretraining units were originally used for graphics?

Generative pretraining isn't specific to graphics. It refers to a method in machine learning where a model is initially trained on a large dataset before being fine-tuned for specific tasks. For graphics, generative models such as GANs (Generative Adversarial Networks) are common.

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Generative pretraining is a method, not a unit. It involves training models on large amounts of data ahead of time. Transformers are a type of model that can be generatively pretrained. They're known for attention mechanisms that weight input data's relevance, enhancing performance in tasks like language understanding.

i don't understand generative pretrained units vs transformers in this case