In more detail
Inference is the moment a trained model actually runs — when your question goes in and computation turns it into an answer. Training happens once, in advance, like writing a cookbook; inference is cooking a dish from it, and it happens every single time anyone asks anything.
It matters because inference is where the ongoing cost of AI lives. Every reply from ChatGPT or Claude burns electricity and computer time somewhere. That’s why companies obsess over making models cheaper to run — with tricks like quantization — and why AI pricing is really inference pricing.
Goes with
