Imagine you’re in school, and your teacher asks you and your friends to work on a group project. Each of you has a different set of skills, and you need to work together to complete the project successfully. In this analogy, the group project is like a sentence or a piece of text that a language model is trying to understand. (View Highlight)
Transformers are a type of model that helps computers understand and generate text, like in our group project. (View Highlight)
The key idea behind transformers is something called “attention.” (View Highlight)
Attention helps the model figure out which words in a sentence are the most important to focus on (View Highlight)
Instead of focusing on each word one at a time, transformers can look at all the words together, decide which ones are the most important, and use that information to understand the text better. (View Highlight)