Deep Learning, Linear Algebra, ChatGPT, Mathematics, Machine Learning.
called dimensionality in deep learning. If you think about it, we certainly want a big enough dimensionality to capture decent amount of concepts. However, if we do not want a too huge vector because it will then become the bottleneck in training of models where these embeddings are used. [3] If