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RSS Curriculum Vitae TR

Attention

Turkish equivalent: Dikkat mekanizmasıDomain: Artificial Intelligence

A neural-network mechanism that computes weighted interactions between representations so a model can focus on contextually relevant information.

Artificial-Intelligence Context

Attention computes relevance scores between query, key, and value representations, normalizes those scores, and forms a weighted combination of values. The mechanism lets a model decide dynamically which parts of the available context matter for the representation being built.

Interpretation Boundary

Attention weights should not automatically be treated as human-readable explanations or causal evidence. They describe one internal weighting operation, and different analyses can attribute model behavior differently.

Related technical article: Artificial Intelligence: Philosophy, Theory and Practice.

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Artificial Intelligence

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