What is Self Attention | Transformers Part 2 | CampusX

Self Attention is a mechanism that enables transformers to weigh the importance of different words in a sequence relative to each other. It allows the model to focus on relevant information, improving its ability to capture long-range dependencies in data.

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⌚Time Stamps⌚

00:00 - Intro
01:50 - What is Self Attention?
11:41 - The problem of "Average Meaning"
22:46 - Outro