Attention serves as a fundamental concept for transformer architecture and for Large Language Models, playing a pivotal role in capturing dependencies between different words in a sequence.
Self-Attention in Transformers: Computation…
Attention serves as a fundamental concept for transformer architecture and for Large Language Models, playing a pivotal role in capturing dependencies between different words in a sequence.