Self-tuning refers to a system's ability to automatically adjust its parameters and settings to optimize performance without requiring manual intervention. This concept can be applied in various contexts, including: 1. **Machine Learning**: In this context, self-tuning algorithms may automatically adjust hyperparameters to improve model performance based on feedback or validation results. 2. **Databases**: Some database management systems utilize self-tuning mechanisms to optimize query performance and resource utilization by adjusting configurations or indexes dynamically.

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