Model Optimization
Noun · AI & Machine Learning
Definitions
Improving a model or its serving path for better quality, efficiency, speed, or cost through tuning, pruning, quantization, routing, or infrastructure changes. Model optimization is often needed before an experiment becomes a production feature.
In plain English: Improving a model so it performs better or runs more efficiently.
Example: "They prioritized model optimization after realizing the draft assistant was useful but too slow and expensive for broad rollout."