Embeddings: What they are and why they matter
Since publishing this I've found a few additional resources that are really useful for understanding embeddings at a lower level (my article is deliberately very high level and focuses mainly on their applications).<p>Cohere's Text Embeddings Visually Explained: <a href="https://txt.cohere.com/text-embeddings/" rel="nofollow noreferrer">https://txt.cohere.com/text-embeddings/</a><p>The Tensorflow Embedding Projector tool: <a href="https://projector.tensorflow.org/" rel="nofollow noreferrer">https://projector.tensorflow.org/</a><p>What are embeddings? by Vicki Boykis is worth checking out as well: <a href="https://vickiboykis.com/what_are_embeddings/" rel="nofollow noreferrer">https://vickiboykis.com/what_are_embeddings/</a><p>Actually I'll add those as "further reading" at the bottom of the page.