In this post, I’ll review Meta AI’s new, self-supervised learning architecture [1], centered around the idea of multi-modal embeddings that has been popularized by Yann LeCun, and perform a from-scratch reimplementation in NumPy.
Footnote test 1
The authors draw attention to implicit biases in data augmentation.
Here’s an example footnote ↩︎