What is an attention mechanism? | IBM

An attention mechanism is a machine learning technique that directs deep learning models to prioritize (or attend to) the most relevant parts of input data. Innovation in attention mechanisms enabled the transformer architecture that yielded the modern large language models (LLMs) that power popular applications like ChatGPT. As their name suggests, attention mechanisms are inspired by the ability of humans (and other animals) to selectively pay more attention to salient details and ignore details that are less important in the moment. Having access to all information but focusing on only the most relevant information helps to ensure that no meaningful details are lost while enabling efficient use of limited memory and time. Mathematically speaking, an attention mechanism computes attention weights that reflect the relative importance of each part of an input sequence to the task at hand. It then applies those attention weights to increase (or decrease) the influence of each part of th

What is an attention mechanism? | IBM What is an attention mechanism? Authors Dave Bergmann Senior Staff Writer, AI Models IBM Think Cole Stryker Staff Editor, AI Models IBM Think What is an attention mechanism? An attention mechanism is a machine learning technique that directs deep learning models to prioritize (or attend to ) the most relevant parts of input data. Innovation in attention mechanisms enabled the transformer architecture that yielded the modern large language models (LLMs) that power popular applications like ChatGPT. As their name suggests, attention mechanisms are inspired b

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