The article explores the concept of vector embeddings, their importance, and how to compare them using different models. It provides a detailed guide on using vector embeddings to represent unstructured data in a Jupyter Notebook, using Taylor Swift’s lyrics as an example. The article also demonstrates how to compare vector embeddings from different models and how to query different latent vector spaces.
Read more at The New Stack…