Compute Optimal Training

Definitions

1. A training regime chosen to get the best model quality for a fixed compute budget by balancing model size and data volume appropriately.

   In plain English: Training a model in the most effective way for the amount of compute you can afford.

   Example: "The paper argued for compute optimal training instead of blindly increasing parameters."

Related Terms

• RLHF
• Mixture of Experts
• Model Collapse
• synthetic training data
• distillation
• Neural Scaling Laws
• Emergent Behavior AI
• Model Distillation Loss
• Training Efficiency