What is embedding vector?
A mathematical representation of an object, like a word or image, as a point in a high-dimensional space
embedding vector explained in plain English
Analogy
Imagine a big library with millions of books. Each book has its own unique location on a shelf. An embedding vector is like a special set of coordinates that tells you exactly where each book is on the shelf, so you can find similar books easily.
Example
When you search for a product on an e-commerce website, the search engine uses embedding vectors to find similar products and show them to you as recommendations.
How is embedding vector used?
Embedding vectors are used in natural language processing, computer vision, and recommender systems to help machines understand and compare complex data.
Common misconceptions about embedding vector
Some people think that embedding vectors are just a simple list of numbers, but they are actually a complex representation of an object's relationships and properties.
History
The concept of embedding vectors originated in the field of natural language processing, where it was used to represent words as vectors in a high-dimensional space. Since then, it has been applied to other areas of AI research.
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