Embeddings

Category: Technical Terms

Definition

Embeddings convert words, images, or other data into lists of numbers that AI can process and compare.

How It Works

AI can't work with words directly - it needs numbers. Embeddings turn "cat" into something like [0.2, -0.8, 1.1, ...]. Similar concepts get similar numbers.

Words with similar meanings cluster together in this number space. "Dog" and "puppy" have similar embeddings, while "dog" and "airplane" don't.

Why It Matters

Embeddings let AI understand relationships between concepts. Search engines use them to find relevant results. Recommendation systems use them to suggest similar items.

They're the foundation for how AI processes language and makes connections between ideas.


Back to Technical Terms | All Terms

Great! You’ve successfully signed up.

Welcome back! You've successfully signed in.

You've successfully subscribed to implicator.ai.

Success! Check your email for magic link to sign-in.

Success! Your billing info has been updated.

Your billing was not updated.