Definition
Extensive refers to the scale and comprehensiveness of AI operations, such as large-scale datasets, broad evaluation suites, or heavy computational workloads. An extensive dataset ensures model generalization across diverse inputs, while extensive evaluation covers edge cases thoroughly. This term emphasizes depth and width in AI development, indicating that resources have been allocated to ensure robustness and coverage beyond minimal requirements.
Summary
Describes AI datasets, computations, or evaluations that cover a large scope, volume, or breadth of scenarios.
Key Concepts
- Scale
- Comprehensiveness
- Volume
- Coverage
Use Cases
- Training on millions of images
- Running stress tests on server load
- Conducting wide-ranging security audits