USING EMBEDDINGS IN COMPUTER VISION

Summary from the TLDR AI newsletter

Embeddings are machine-readable lists of numbers that represent some information about a piece of data. They are increasingly obtained by running the data through a neural network and looking at the activations of the model. This post pushes that idea forward with CLIP on a computer vision task and explores how to use dimensionality reduction to reason about the learned embeddings.