What is ‘self-attention’ in transformer models?

AI Fundamentals Medium

AI Fundamentals — Medium

What is ‘self-attention’ in transformer models?

Key points

  • Self-attention enables elements in a sequence to interact with each other
  • It helps capture dependencies and relationships within the data
  • This mechanism is crucial for the success of transformer models

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