Models
Embeddings
Turning words or images into numbers that capture their meaning.
An embedding is a way of translating a piece of text, an image, or a sound into a long list of numbers that stands for its meaning. Things with similar meanings end up with similar numbers, so a computer can measure how related two ideas are. This quiet trick powers search, recommendations, and much of how AI finds relevant information.
For example
Embeddings let a search tool know that 'car' and 'automobile' mean nearly the same thing.
Related
Reasoning modelAn AI that pauses to think through a problem step by step before answering.Mixture of expertsA big model split into specialists, only a few of which handle each question.Open weights vs closedWhether a model's inner settings are shared publicly or kept private.DistillationTraining a small, cheap model to imitate a big, expensive one.