Fine-Tuning Models in a Secure AI Environment: Technical Implementation

Author

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

Organization

Data Integration Support Center

Description

This brief from DISC outlines the technical process used to fine-tune a pretrained model within WestEd’s secure AI environment.

Summary

The implementation details and results in this brief provide a foundation for understanding the fine-tuning process. For organizations thinking about their own fine-tuning projects, a companion brief titled “Fine-Tuning Models in a Secure AI Environment: Practical Considerations” addresses common questions about model selection, data requirements, evaluation approaches, and practical considerations to help guide decision-making.