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Evaluating Data Quality and Model Performance
Exploring the importance of assessing output quality from a data transformation platform for downstream applications and the challenges in evaluating Language Model Models (LLMs) for specific tasks. Highlighting the significance of distinguishing between model hallucinations and quality for accurate task performance.