Self-attention

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Self-attention Overview

Self-attention is a mechanism that allows models to focus on important parts of the input data. It is a key component of Transformer models, enabling them to capture dependencies between words in a sequence.

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Key Concepts

• Attention Scores: Determine the importance of each word in the context of others.
• Scaled Dot-Product Attention: A common method for calculating attention scores.
• Multi-head Attention: Combines multiple attention mechanisms for better performance.