A company will use a pre-trained model (no additional training) to detect vehicle crashes and contact emergency services within 30 seconds. Which model attribute should the company prioritize to meet this requirement?

The company needs to detect vehicle crashes and contact emergency services within 30 seconds, which is a strict real-time requirement. Model size directly impacts inference latency; a smaller model generally processes data faster, leading to lower latency. Prioritizing a model with a small size will help ensure the system can make predictions quickly enough to meet the 30-second deadline. Model customization is irrelevant here because the company is using a pre-trained model with no additional training. Model cost is a business consideration but does not directly affect the technical ability to meet the real-time latency requirement. Model temperature is a hyperparameter used in generative models to control randomness and creativity, which is not applicable to a detection task or real-time latency.