0
5.0.4
Zurich Patch 4, Zurich Patch 2, Zurich Patch 1, Zurich, Yokohama Patch 8, Yokohama Patch 6, Yokohama Patch 3, Yokohama, Xanadu Patch 10, Xanadu Patch 9, Xanadu Patch 5
The Group and Action Framework provides skills that group datasets into named clusters and then take action on the those clusters through generative AI to provide suggested steps, summaries, and recommendations.
Grouping skills: Classifies and clusters datasets stored in a table, generates human readable topics for each cluster, and selects samples to represent each cluster as examples within LLM prompts.
Action skills: Allows for LLM actions (such as generating resolution steps) on new records as they are created and on entire clusters.
- New
- Trend Summarization Features
- Enhanced GAF's prediction and mapper APIs to add new records to existing clusters.
- Enhanced GAF's reducer API to allow for specific records to be sent for reduction - allowing for filters based on time or other dimensions
- Automatic Agent Setup
- GAF will not be automatically setup for Out-of-the-box Agents without customer or admin actions
- Suggested Steps Auto Evaluation
- A skill for use in NASK that measure the quality of resolution steps generated by GAF
- Multiple improvements to existing skills to support existing ServiceNow use cases
- Trend Summarization Features
- Fixed
- Many defects addressed
- AI Search (Optional) - Required for the Optimized Prediction feature. This feature increases the maximum number of records to 500K, allows for faster online prediction, and increases quality of prediction/mapper results.