Attention: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

17 March 2023

27 February 2023

  • curprev 18:0518:05, 27 February 2023Alpha5 talk contribs 5,875 bytes +5,875 Created page with "{{see also|Machine learning terms}} ==Introduction== Attention is a technique in machine learning that allows a model to focus on specific parts of an input while making predictions. Attention mechanisms enable models to selectively focus on certain parts of an input sequence - making them useful in tasks involving sequential or structured data. Attention models have become increasingly popular over the last few years, particularly in natural language processing (NLP). A..."