AI Model Details for Skilljar Product
Gainsight takes privacy and security seriously, especially in the context of AI-enabled features. This article explains how AI capabilities in Gainsight products handle customer data, what models are used, and the safeguards in place to protect data privacy and compliance.
Skilljar
The following table provides details of the models used in Skilljar AI features:
| Feature | LLM | Description | Data Sets | Data Retention and Deletion |
|---|---|---|---|---|
| Quiz and Description Creation | GPT-3.5 turbo | Use HTML text or video to generate course objectives, short descriptions, quizzes, and lesson-based quiz selections. | Video Content, Text, and HTML content | No customer data is retained by the third-party subprocessor used to deliver this feature. |
| AI Tutor | GPT-4.1 | Users can leverage AI tutor on courses to answer their questions about the content within the course. | SJ Courses and Lessons | No customer data is retained by the third-party subprocessor used to deliver this feature. |
| AI Insights | GPT-5.2 | Users can see information on learner engagement sequences from the homepage. | SJ Enrollments and Student Course Progress | No customer data is retained by the third-party subprocessor used to deliver this feature. |
| AI Ratings Summary | GPT-5.2 | Users can see summaries of feedback on courses with Course Rating lessons, as well as recommendations for content improvement. | SJ Course Ratings | No customer data is retained by the third-party subprocessor used to deliver this feature. |