👉 "Not computing" refers to a state where a system, typically a machine learning model, is unable to perform any computations or generate an output despite being designed and potentially functioning correctly. This can occur due to various reasons such as a lack of data, incorrect model architecture, insufficient computational resources, or erroneous code. In the context of AI and machine learning, it signifies a failure in execution rather than an error in logic or data processing. It's crucial for developers and researchers to diagnose and address the underlying issues to ensure models operate as intended.
