A research team is training a large language model and has a fixed, non-negotiable computational budget. Their goal is to achieve the lowest possible final loss. Based on the established principles that govern the relationship between computation, model size, data size, and performance, which of the following strategies represents the most efficient use of their budget?

Evaluating an LLM Training Strategy

Analyzing Deviations from LLM Scaling Behavior

Continued Effectiveness of Scaling up Training in NLP

Power-Law Curve of Performance Scaling

Scaling Laws Across LLM Development Stages