Transformer Architecture Explained for Beginners

The transformer architecture is a modern model that computer programs use to better understand and process language, texts, or other data.

In the past, methods were often used that processed information step by step, similar to reading a book from front to back.

Transformers work differently: They consider all parts of a text simultaneously and can thus better recognize connections.

This makes them particularly good at understanding long texts, answering questions, or even writing new texts.

Many well-known language models, such as GPT or BERT, are based on the transformer architecture.