Data Scaling

Definitions

1. Increasing the amount or effective use of training or retrieval data to improve model behavior, often in line with scaling-law considerations. Data scaling is a central concept because more or better data can unlock gains without changing architecture dramatically.

   In plain English: Improving AI by using more or better-scaled data.

   Example: "Their next milestone emphasized data scaling by expanding multilingual examples instead of increasing model size."

Related Terms

• synthetic training data
• Chinchilla Scaling
• Compute Optimal
• Data Curation
• Data Quality
• Scaling Hypothesis
• Self-Instruct
• Unstructured Data AI