Title
Answer:
It's a data scientist's fancy way of explaining how to standardize or convert data (usually text) into a number and formula for the purposes creating AI. For example, with self-driving AI, a camera will ingest the outline of an object on the horizon and turn it into an item in a vector space, where it “describes” the outline and compares it to various other objects to determine what it most closely resembles.
Here’s how Data Scientist Scott describes it:
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A vector training model is a method used by data scientists to standardize or convert data, typically text, into numerical representations for AI development. For instance, in self-driving AI, a camera captures an object's outline and translates it into a vector space to compare it with other objects. Support is available via email and scheduled office hours for further assistance.