Fine-Tuning Models in a Secure AI Environment: Practical Considerations

Author

LeBeau, B., Clarke, M., Rodriguez, B., Quesen, S.

Organization

Data Integration Support Center

Description

Fine-tuning—the process of adapting pretrained models with additional targeted training data—offers organizations a powerful method to enhance model performance for specific use cases.

Summary

WestEd recently implemented a model fine-tuning project within its secure AI environment to improve the generation of English language arts (ELA) assessment content. A companion brief titled “Fine-Tuning Models in a Secure AI Environment: Technical Implementation” details the technical implementation process, including data preparation, model training, and evaluation methodologies.

Building on that implementation experience, this brief captures key insights through a series of questions and answers with members of the project team.