Machine Learning, NLP, Bert, Albert, Transformers.
out in practice, this matrix usually has huge sizes and requires a lot of memory to store it. But a more global problem is that most of the time the elements of an embedding matrix are trainable and it requires a lot of resources for the model to learn appropriate parameters. For instance, let us