Data/ML/AIHigh signalAround since 2022
Quantization
Shrinking a model's size and memory footprint by reducing the precision of its internal numbers, trading a small amount of accuracy for speed and lower cost.
Think of it like
Like compressing a high-resolution photo into a smaller file — it takes up less space and loads faster, at a small cost to fine detail.
Junior or senior?
Junior sounds like
Hasn't had to think about a model's memory footprint.
Senior sounds like
Can describe the accuracy tradeoff they saw after quantizing a model, and whether it was acceptable.
Ask them
“What tradeoff in accuracy did you see after quantizing a model, and was it acceptable?”