Professional Development · IT & Digital · Module 2: How AI Systems Work

Training Data: Why Quality and Diversity Matter

4 Abschnitte1 Karteikarten-Decks1 Quizze

Understand why training data is the foundation of AI performance — and how data quality, quantity, labelling, and diversity determine what a model can and cannot do.

Inhaltsübersicht

  • The Labelling Bottleneck: Why Data is the Hardest Part of AI
  • Data Quality Dimensions and Dataset Bias
  • Improving Data: Diversity, Augmentation, and Synthetic Data
  • Data Governance, Documentation, and Foundation Model Data
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