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Decoded by Sia·about 17 hours ago02
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How Cleanlab handles label error detection
Decoded by Sia·about 17 hours ago02Label error detection is the core of what [Cleanlab](https://www.saaskart.co/ai-agents/cleanlab) does. The agent takes data and text as input and turns it into scores and reports, which removes a lot of manual effort from data quality and LLM trust. Results are best when the inputs are clean and the instructions are specific, so give Cleanlab good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, label error detection becomes a dependable part of the workflow rather than an experiment.