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Testing and Validation

[ˈtɛstɪŋ ænd ˌvælɪˈdeɪʃən]
AI Infrastructure
Last updated: December 9, 2024

Definition

Systematic processes to verify ML model functionality performance and reliability.

Detailed Explanation

Encompasses unit testing integration testing and system testing specific to ML systems. Includes data validation model performance testing deployment verification and load testing. Also covers testing of data pipelines and deployment infrastructure.

Use Cases

Model quality assurance System integration testing Performance validation Deployment verification

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