If you think, “To translate, just the part “Emily likes apples” is enough.” then you are very wise. In this translation, “Emily loves apples. You probably came up with “encantan” in this way. How did you translate it in your mind? “Emily loves” is the part to be translated, so “encantan” is the word to be translated. Translated sentenceĮmily nació y creció en una granja de manzanas, por lo que comía manzanas todos los días, y por supuesto, a Emily le ( ) las manzanas. English sentenceĮmily was born and raised on an apple farm, so she ate apples every day, and of course, Emily loves apples. Since Attention is very close to the human way of thinking and is intuitively easy to understand, let’s understand it with a concrete example.įor example, suppose you have a task to translate English into Spanish, as shown in the sentence below. The development of Attention overcame the fatal flaw of the previous model, which was inaccurate for longer sentences.
A profound explanation of how Attention works with mathematical formulas based on the original paperĪttention is a mechanism that tells AI which words in a sentence are essential for a task and which words to pay Attention (Attention) to when performing the task.Why it is called a breakthrough in the natural language world.On this page, we would like to explain “Attention” in an in-depth and easy-to-understand. Attention” is often used in NLP libraries, is considered a breakthrough in natural language processing, and is essential for understanding cutting-edge technologies such as BERT and GPT-3.
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