Why is quality training data crucial?

How It Works:

Training data provides the examples from which models learn patterns; clean, diverse, and representative datasets yield robust, generalizable models.

‍

Key Benefits:

• Higher accuracy on real-world tasks
• Reduced bias and unexpected errors
• Faster convergence during training

‍

Real-World Use Cases:

• Curated image sets for vision models
• Balanced transaction logs for fraud detection