A small research lab with a limited budget for cloud computing wants to specialize a large, 100-billion parameter language model for analyzing niche scientific papers. Their plan is to use a training process that adjusts all of the model's parameters on their custom dataset. Based on the nature of this process, what is the most critical challenge the lab must evaluate before proceeding?

Evaluating Fine-Tuning Strategies for a Startup

Evaluating a Model Adaptation Strategy