Surpass Luma
Surpass Luma utilises Microsoft’s Azure OpenAI service. No information entered into any Surpass Luma entry field is stored by Azure OpenAI. Use of Surpass Luma is subject to Azure OpenAI security controls. For more information, read Data, privacy, and security for Azure OpenAI service from Microsoft’s Azure documentation.
Surpass Luma can generate complete Multiple Choice questions including question stems, answer options, and correct answers. The Semantic Search search type lets you create searches using natural language to find conceptually similar results.
This page contains all the information relevant to Surpass Luma from across the Surpass Platform.
In this section
Editing a centre
Surpass Luma is enabled in the Centres screen of Setup by editing an existing centre. For more information, read ‘4. Edit the centre’s settings’ in Editing a centre.
Setting up Surpass Luma
Surpass Luma can be provided with information about your subject and the standard format and style of your question stems and answer options to help it generate more specific and accurate content, from the Subjects screen of Setup. For more information, read Setting up Surpass Luma.
Generating Multiple Choice questions
Surpass Luma can generate complete Multiple Choice questions including question stems, answer options, and correct answers. Read Generating Multiple Choice questions with Surpass Luma to learn how to use Luma for full item content generation in Item Authoring.
Surpass Luma best practice
The Surpass Luma best practice article contains hints, tips, and guidance about how best to use Luma functionality for more effective item content generation.
Searching for items using Semantic Search
The Semantic Search search type in Item Search utilises Azure AI Search to search for semantically similar results to your search query when searching your Luma-enabled item bank. It does this by turning text into embeddings (numerical representations of meaning).
To learn how to use Semantic Search read Searching for items with Item Search using the Semantic Search. Read Microsoft’s Azure AI Search documentation for more information on Azure AI Search.
Analysing enemy items in Item Lists
With Surpass Luma enabled, you can check for possible enemy relationships between items in Item Lists. An Enemy Relationship Analysis details whether the items’ question stems and answer options suggest the items might compromise each other. If they do, you can create an enemy relationship between them.
For more information, read Analysing enemy items in the Item Lists screen.