How Does Transformer models: Encoder-Decoders Work?

Transformer models are like super-smart message-passers that help computers understand and create language.

Imagine you have two friends: one is Encoder and the other is Decoder. They live in a town called Transformer Town, where everyone speaks in sentences. The Encoder’s job is to read a sentence and figure out what each word means, like how a librarian knows which book goes where on the shelf.

The Decoder then takes that information and creates a new sentence, like when you tell your friend a story, and they repeat it back in their own words.

Here’s how it works:

The Encoder's Job

The Encoder looks at each word and thinks about its neighbors. It asks: “What does this word mean with the others around it?” Like when you read a sentence out loud, you know the whole meaning, not just one word.

The Decoder's Job

Then the Decoder starts building the new message piece by piece. It’s like writing a letter: you start with “Dear,” then add more words as you go along.

Together, they help computers understand and write sentences like humans do, no magic needed!

Take the quiz →

Examples

  1. A child learns to read by first understanding each word, then putting them together into a sentence.
  2. A teacher explains a lesson in simple steps before moving on to more complex ideas.
  3. A group of friends translate a message from one language to another.

Ask a question

See also

Discussion

Recent activity