Tag: error-analysis
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Systematic Error Detection for AI Systems
How to Know if Your Application Actually Works So you’ve built your RAG bot, your customer service chatbot, or your AI-powered application. It looks great in demos, but how do you actually know if it works when real users start interacting with it? This is where systematic error detection comes in—a methodical approach borrowed from…
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Building Custom Annotation Tools for AI Error Analysis
Why custom dataset annotation solutions often outperform generic data labeling platforms for machine learning systems When your AI application isn’t performing as expected, you need to understand where it’s failing. This requires systematic error analysis through data annotation—having domain experts review queries and responses to identify patterns and problems. While off-the-shelf annotation tools seem like…
Josh Pitzalis 