From the course: Fundamentals of AI Engineering: Principles and Practical Applications
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The embedding ecosystem
From the course: Fundamentals of AI Engineering: Principles and Practical Applications
The embedding ecosystem
- [Instructor] Welcome to our first code focused chapter on embeddings. In this session, we're going to explore one of the most powerful concepts in modern AI, text embeddings. If you've ever wondered how computers can understand the meaning of words and sentences, embeddings are a big part of the answer. Let's open up chapter four and open up the I Python notebook that corresponds to this chapter, 04_02.ipynb. As always, in the upper right hand corner, make sure that the VN that's selected is the VN that corresponds to the .VN environment in your local copy of code spaces. And with that, let's get started. Embeddings transform text into numerical vectors in a way that captures semantic meaning. Think of them like the secret sauce that allows AI to make sense of human language. Today we'll break down this concept step by step and see it in action. For this video, don't worry too much about following along and writing your own code just yet. Our goal today is to get a conceptual…
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