Let's conclude the embedding series.

We hope that this small course has helped you gain some intuition on embeddings.

We'll soon add more courses that give more practical advise on how you might use these embeddings. In particular, we hope to explain how to leverage PCA/UMAP, how to use nearest neighbor techniques, but also do a deep dive on a library called embetter to help you get started using embeddings in scikit-learn.