AI Testing Strategy: A Comprehensive Guide to Testing AI-Based Applications
AI testing refers to the process of validating AI models, algorithms, and applications to ensure they meet specified requirements and perform effectively in real-world environments. Unlike traditional software testing, AI testing needs to address unique challenges posed by the machine learning models and the dynamic nature of AI systems.