Attention mechanisms

Large Language Models (LLMs) Concepts

Vidhi Chugh

AI strategist and ethicist

Attention mechanisms

  • Understand complex structures
  • Focus on important words

 

  • Book reading analogy:
    • Clues in a mystery book
    • Focus on relevant content
    • Concentrate on crucial input data

An open book with a magnifying glass

Large Language Models (LLMs) Concepts

Self-attention and multi-head attention

Self-attention

  • Weighs the importance of each word

 

  • Captures long-range dependencies

Multi-head attention

  • Next level of self-attention

 

  • Splits input into multiple heads with each head focusing on different aspects
Large Language Models (LLMs) Concepts

Attention in a party

  • Attention: Self and multi-head

 

  • Example:
    • Group conversation at a party
    • Selective attention to relevant speaker
    • Filter noise
    • Focus on key points

 

people sitting and having a group conversation

1 Freepik
Large Language Models (LLMs) Concepts

Party continues

Self-attention

  • Focus on each person's words
  • Evaluate and compare their relevance
  • Weigh each speaker's input
  • Combines for a comprehensive understanding

Multi-head attention

  • Split attention into "multiple" channels
  • Focus on different aspects of conversation
  • Speaker's emotions, primary topic, and related side-topics
  • Process each aspect and merge
Large Language Models (LLMs) Concepts

Multi-head attention advantages

  • "The boy went to the store to buy some groceries, and he found a discount on his favorite cereal."

 

  • Attention: "boy," "store," "groceries," and "discount"
  • Self-attention: "boy" and "he" -> same person
  • Multi-head attention: multiple channels
    • Character ("boy")
    • Action ("went to the store," "found a discount")
    • Things involved ("groceries," "cereal")
Large Language Models (LLMs) Concepts

Let's practice!

Large Language Models (LLMs) Concepts

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