A company plans to customize a foundation model using its internal documents. Which approach accomplishes this?

Continued pre-training is the process of taking an existing, pre-trained foundation model and further training it on a new, specific dataset. In this case, the company's internal documents serve as that new dataset, allowing the model to learn the nuances, terminology, and patterns within their proprietary information. This approach fine-tunes the model's understanding to be highly relevant to the company's domain without starting from scratch. Classification and Regression are types of tasks models perform, not methods for customizing a foundation model with new data. Distillation is a technique to create a smaller, faster model from a larger one, not to incorporate new domain-specific knowledge.