Variational Autoencoder (VAE)
A Variational Autoencoder (VAE) is a type of artificial neural network architecture used in machine learning and generative artificial intelligence.
The Essential Data Science Lexicon: Industry terms explained like you're not supposed to already know them!
A Variational Autoencoder (VAE) is a type of artificial neural network architecture used in machine learning and generative artificial intelligence.
A vector database is a semantic storage engine, not just a traditional data repository. While relational databases like SQL allow you to record and retrieve exact matches, a vector database allows you to search by meaning and context.
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