An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a two-part machine that translates one form ...

Since both encoder and decoder models are learned (meaning they can be re-trained), the same encoder or decoder architecture can be specialised for different tasks.