Function Calling
Noun · AI & Machine Learning
Definitions
A model interaction pattern where the model emits structured arguments that a program routes to tools or APIs. It influences how models are trained, evaluated, or served, and it can materially change accuracy, robustness, latency, cost, or interpretability. Practitioners usually track it alongside data quality, compute limits, and validation results when moving models into production.
In plain English: Function Calling is an AI concept that affects how a model learns, predicts, or gets deployed. It matters because it changes quality, speed, or reliability.
Example: "We revisited Function Calling during model evaluation because the first run looked fine offline but behaved poorly in production, and the adjustment improved quality without breaking our latency or compute budget."