Attention lets a transformer weigh information from different positions when building a representation or predicting an output. Position information helps distinguish order, while learned layers transform those representations for the task.
Transformers are used for text, images and other structured sequences, including transaction records. Their behavior depends on training data, objectives and implementation; the architecture alone does not establish reliability or reasoning ability.
ELI5
A transformer is a design for a computer model that compares parts of its input to decide which details matter together. It learns useful patterns from examples rather than following a separate hand-written rule for every case.
For example, when reading a sentence, the model can connect a pronoun with an earlier name to help interpret the sentence. Similar comparisons can help it find relationships in a sequence of transactions.
Are transformers only used for language?
No. They can process images, audio and many other kinds of structured data.
Does attention guarantee that a model understands its input?
No. Attention is a computational mechanism, and useful behavior still requires relevant training and evaluation.
