Essential Guide to Transformer Attention
Attention mechanism in transformer LLMs is like a spotlight that focuses on the most relevant parts of a sentence when generating new text. It allows the model to weigh the importance of different words, phrases, or even entire sentences, enabling it to understand context and relationships better.
In simpler terms: It helps the model pay attention to what truly matters in the text, leading to more coherent and contextually accurate responses.
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