An AI development team observes that their language model, which has been trained on a large dataset of specific instructions, performs poorly on novel tasks it has never encountered before. To improve its ability to generalize, the team proposes to significantly increase the volume of their training data by adding many more examples of the same types of instructions. Which statement provides the most accurate evaluation of this strategy's efficiency for achieving better generalization?

Critique of a Model Scaling Strategy

Evaluating Scaling Strategies for Model Generalization

Limitations of Supervised Fine-Tuning for LLM Alignment