Power BI Copilot Inconsistency Between Vague and Specific Prompts for Total Sales in December
The core principle asserts that non-deterministic behavior in analytical AI systems arises from semantic ambiguity within natural language prompts, creating a variance between user intent and model interpretation across different execution contexts. This phenomenon is defined as "prompt-induced variability," where vague specifications fail to constrain the latent space sufficiently for consistent retrieval of temporal metrics or data subsets. Within the domain of Human-AI Interaction in Analytics, this theory establishes that reproducibility depends on formally specifying boundary conditions (e.g., date ranges) and selection logic rather than relying on semantic inference alone.
Power BI Copilot Inconsistency Between Vague and Specific Prompts for Total Sales in December
The core principle asserts that non-deterministic behavior in analytical AI systems arises from semantic ambiguity within natural language prompts, creating a variance between user intent and model i…