5min chapter

My First Million cover image

Brainstorming ChatGPT Business Ideas With Billionaire Dharmesh Shah

My First Million

CHAPTER

Vector Embeddings: How They Work

In an abstract world, there are 1000 different dimensions. Every paragraph, blog post, anything you write can be reduced down to a point in this 1000 dimension space. And just like in one dimensional two dimensional three dimensional space, you can calculate the distance between those things. This is not keyword matching. This is what's known as semantic distance. That's vector embedding. One of the biggest opportunities in AI right now is to do that Pandora did.

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