Viewing a factsheet for a tracked asset

Review the details that are captured for each tracked asset in a factsheet associated with an AI use case. You can also print a report to share or archive the factsheet details.

Service The required service is not available by default. An administrator must install the watsonx.governance service or the AI Factsheets service, version 4.8.3 or later, on the IBM Cloud Pak for Data platform. To determine whether the service is installed, open the Services catalog, and check whether the service is enabled.

What is captured in a factsheet?

From the point where you start tracking an asset in an AI use case, facts are collected in a factsheet for the asset. As the asset moves from one phase of the lifecycle to the next, the facts are added to the appropriate section. For example, a factsheet for a prompt template collects information for these categories:

Category	Description
Governance	basic details for the governance, including the name of the use case, version number, and approach information
Foundation model	name and provider for the foundation model
Prompt template	prompt template name, description, input, and variables
Prompt parameters	options used to create the prompt template, such as decoding method
Evaluation	results of the most recent evaluation
Attachments	attached files and supporting documents

Important: The factsheet records the most recent activity in any category. For example, if you evaluate a deployed prompt template in a pre-production space, and then evaluate it in a production space, the details from the production evaluation are captured in the factsheet, over-writing the previous data. Thus, the factsheet maintains a complete record of the current state of the asset.

Vewing a factsheet for a tracked prompt template

Tracking details

When tracking is enabled, the recording of facts is triggered by actions on the tracked asset. Similarly, changes in the AI lifecycle control where the asset displays in an AI use case, to show the progression from development to operation. For example, when a model is saved in a project, the model displays in the Develop pillar. When the model is promoted to a space, the use case is updated to show the model in the Test pillar, and so on.

Model location	Develop	Test	Validate	Operate
Project	✓
Preproduction space		✓
Preproduction space			✓
Production space				✓

Prompt template location	Develop	Test	Validate	Operate
Development project	✓
Development project		✓
Validation project			✓
Space				✓

Next steps

Click Export report to save a report of the factsheet.

Parent topic: Governing assets in AI use cases