TECHNOLOGY
Large Language Models
A concise overview of Large Language Models, how it relates to Generative AI Technologies, key considerations, and conditions to confirm.
Item 1 of 1: Large Language Models
Generative AI Technologies
Large Language Models
A concise overview of Large Language Models, how it relates to Generative AI Technologies, key considerations, and conditions to confirm.
Scope
For Large Language Models, we define applicability from the purpose and constraints, including conditions where it should not be used. The relationship to Generative AI Technologies remains visible so the reasons behind each decision can be reviewed.
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. The relationship to Generative AI Technologies remains visible so the reasons behind each decision can be reviewed.
Validation
For Large Language Models, we use repeatable inputs and criteria and inspect failure cases as well as expected behavior. The relationship to Generative AI Technologies remains visible so the reasons behind each decision can be reviewed.
Operational review
For Large Language Models, we track changes, quality shifts, and use patterns while keeping a path for rollback. The relationship to Generative AI Technologies remains visible so the reasons behind each decision can be reviewed.
Human governance
For Large Language Models, we do not leave consequential decisions to automation alone and define accountable review points. The relationship to Generative AI Technologies remains visible so the reasons behind each decision can be reviewed.