This post is divided into five parts. These are: •From full transformers to decoder-only models • Building decoder-only models • Data preparation for self-monitoring learning • Training the model • The extended transformer model is originated as a sequence (SEQ2SEQ) model from a sequence that converts the input sequence into a context vector.
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