AIs Plateau: Quantifying Progress Beyond The Hype
The world of Artificial Intelligence (AI) is rapidly evolving, transforming industries and impacting daily life. But with all the hype, how do we truly measure and understand AI performance? It's not as simple as a single metric; instead, it requires a multifaceted approach considering accuracy, efficiency, fairness, and more. This article delves into the key aspects of evaluating AI performance, providing insights and practical examples to help you understand and optimize your AI systems.
Understanding AI Performance Metrics
Accuracy and Precision
Example: An image recognition model correctly identifies 95 out of 100 images. Its accuracy is 95%.
However, accuracy alone isn't enough. Consider precision, which measures the proportion of correctly predicted positive outcomes out of all pre...