Introduction: Understanding Embedding Models and Semantic Spaces Imagine a giant document warehouse where every word, phrase, and sentence has a physical location. In this warehouse, phrases with similar meanings or that are commonly used together are stored close to one another, while words with no relation are placed far apart. This is how embedding models

Read more →