Embedding
Domain: NLP Fundamentals
🎯 Motivation
Turns words or tokens into vectors of numbers so the computer can measure meaning and similarity.
📋 Concrete Example
The word happy might become [0.8, -0.1, 0.5, …]. Words with similar meaning get similar vectors.
🔗 Analogy
Like giving each word a fingerprint - similar words have similar prints, different words have different ones.