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This paper systematically evaluates input representations (images, text, or both) for multimodal document QA, finding that images improve accuracy but increase latency, and proposes a TF-IDF router to optimize performance.
The article describes using Databricks Genie to query MLflow agent traces with natural language, enabling non-SQL users to analyze agent performance metrics like latency and errors.