What Is the Role of QA in Data Annotation Pipelines?
Artificial intelligence models are only as good as the data they are trained on. When you feed a machine learning algorithm clean, accurate information, it performs remarkably well. Give it flawed inputs, and the resulting predictions will be unreliable at best. This fundamental truth makes data annotation pipelines the undisputed backbone of all modern training […]