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➡️ C. The data being used for grounding is incorrect or incomplete ✅ 👉 In Einstein Generative AI, grounding data is what ensures the model generates accurate, context-aware results. If the data is missing, incorrect, or incomplete, the generated summaries will not return the right information. A. Prompt template version → Not typically an issue in Salesforce; templates aren’t tied to LLM versions. B. Einstein Trust Layer → Controls privacy/security (masking, retention) but does not cause poor prompt accuracy. C. Grounding data → Directly impacts output quality; incomplete data = poor summaries. ✔️ Correct explanation: Poor prompt performance here is due to incorrect or incomplete grounding data.
The data being used for grounding is incorrect or incomplete.