Embedding
A dense, low-dimensional vector representation of something — a word,
A dense, low-dimensional vector representation of something — a word,
A dense, low-dimensional vector representation of a word. Introduced
A learned vector representation of a token (text word, image patch, audio feature, etc.). For Gemini, all embeddings are d_model = 2048 dimensions, ensuring uniform treatment.
A way to turn text into numbers (a vector) that capture meaning, so similar ideas have similar numbers.
A list of numbers representing the meaning of a piece of text; similar meanings → similar vectors.
A list of numbers representing the meaning of something (text, image, audio). Similar meanings → similar vectors. The atom of everything.
A list of numbers (a vector) representing a token's "meaning" as coordinates in a high-dimensional space; similar meanings sit close together. (M01)
A list of numbers representing the meaning of a piece of text, so similar meanings land near each other. (Mod 1)