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When you provide the AI with sample query/question pairs, it references these examples when it answers future questions. Matching new queries to the most relevant examples helps the AI incorporate business-specific logic, and respond effectively to commonly asked questions. This functionality enables fine-tuning for individual data sources, and ensures generation of more accurate SQL or KQL queries.
Power BI semantic model data don't support adding sample query/question pairs at this time. However, for supported data sources such as lakehouse, warehouse, and KQL databases, providing more examples can significantly improve the AI's ability to generate precise queries when its default performance needs adjustment.
By tailoring these instructions and defining terms, you enhance the AI's ability to deliver precise and relevant insights, in full alignment with your data strategy and business requirements.
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