Neural networks vs transformers: which is better for your use case?

Transformers are a type of neural network that specialise in processing sequences of data (especially text and time-series), and they deliver state-of-the-art results in language, translation, and many AI fields. Classic neural networks are better suited to smaller datasets or more basic tasks. Choose normal nets for classic learning; transformers when working with lots of text or when more context is required.