Deep Learning

Self-Attention

Attention that models relationships between elements within the same sequence.

Self-attention allows every token or element in a sequence to compare itself with all the others. These comparisons determine which elements are most relevant to its meaning.

Because relationships can be modelled directly rather than through repeated recurrent steps, self-attention supports parallel computation. It is the central operation behind modern transformers and large language models.

Also in Deep Learning

CNN RNN LSTM Transformers Auto Encoders Deep RL

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