In the context of GPT's transformer architecture, attention refers to the model's ability to understand the relational context between words in a given text sequence. This technique was originally outlined in the paper "Attention Is All You Need."
In the context of GPT's transformer architecture, attention refers to the model's ability to understand the relational context between words in a given text sequence. This technique was originally outlined in the paper "Attention Is All You Need."
