quantization

Quantization in AI means compressing a model by reducing the precision of its numbers, making it smaller and faster to run. Tech jargon. Not concerning. Important for running AI locally. If your kid uses it constantly, ask them where they first heard it, not to police their speech but to understand which online community they are in. Most slang of this kind moves through TikTok and group chats, so seeing it in your child's vocabulary just means they are plugged into normal teen internet culture.

Quantization in machine learning is the technique of reducing the bit-precision of model weights to shrink memory footprint and speed up inference. Use in AI engineering contexts. Formal equivalent: "weight quantization," "low-precision inference." Common non-native mistake: confusing with the physics or mathematics sense of quantisation. In AI it specifically refers to weight precision reduction. Read or listen to the word in context several times before trying it yourself; the right register is harder to learn than the dictionary meaning.