A Visual Guide to Attention Mechanism in LLMs

About

The attention mechanism is a revolutionary leap that helped Large Language Models generate text in a sensical way. In a nutshell, attention adds context to words in an embedding. In this talk, we'll see attention as a gravitational force that acts between words, adding context to text. We'll study the keys, queries, and values matrix, and how they contribute to this theory of word gravitation.

Key Takeaways:

  • Understand how the attention mechanism dramatically improves LLM text generation by adding context to word embeddings.
  • Recognize how attention functions as a gravitational force between words, dynamically weighting their importance.
  • Learn about the roles of keys, queries, and values matrices in calculating these contextual relationships.

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