Meaning
A method in LLMs that prioritizes important words in a sentence to generate accurate responses.
Definition
In LLMs, the attention mechanism is a process that assigns varying levels of importance to different words in a sentence when generating a response.
This technique enables the model to prioritize relevant information, resulting in more coherent and contextually accurate outputs.
Example
When processing the sentence “The cat sat on the mat,” the attention mechanism helps the model focus on the words “cat” and “sat” to generate a meaningful response about the action.
