Generative AI Technologies

Large Language Models

For Large Language Models, we define applicability from the purpose and constraints, including conditions where it should not be used. Avoid locking the design to one model or platform, separate data, integration, and monitoring, and record the reasons for each choice.

Scope

For Large Language Models, we define applicability from the purpose and constraints, including conditions where it should not be used.

Design decisions

For Large Language Models, we avoid locking the design to one model or platform, separate data, integration, and monitoring, and record the reasons for each choice.

Validation

For Large Language Models, we use repeatable inputs and criteria and inspect failure cases as well as expected behavior.

Operational review

For Large Language Models, we track changes, quality shifts, and use patterns while keeping a path for rollback.

Human governance

For Large Language Models, we do not leave consequential decisions to automation alone and define accountable review points.