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Explore the capabilities of Large Language Models (LLMs) in detecting data anomalies in this 25-minute conference talk from Conf42 LLMs 2024. Delve into the importance of data quality, examine the various causes of poor data quality, and learn about different approaches to address these issues. Investigate the effectiveness of OpenAI's models in anomaly detection, and discover BigQuery's built-in anomaly detector. Gain insights into key code components, threshold adjustments, separate training data incorporation, and tuning non-seasonal order terms to enhance anomaly detection performance. Conclude with information on how to connect with the speaker for further discussion on this crucial aspect of data analysis and LLM applications.
