Embeddings - the lesser known hero of AI

Essentially, embeddings are points in a multi-dimensional space, represented as vectors. They encode both semantic and contextual information of a word, phrase, or text, making them highly significant in AI and language processing.

The code for this talk can be found on github.com

Check out my other talk where I go into how to implement a semantic search: Let's build an AI-Driven Search

Slides for this Talk