Transformers stop learning once training is complete. Because weights do not change during inference, the model itself does not change regardless of what it sees or is told. There are several ...

Transformer Architecture It was Transformer that broke through these limitations of RNNs and revolutionized the world of AI. First, let's look at the architecture diagram published in the famous paper ...