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AI Testing Highlights // Special MLOps Podcast Episode
MLOps.community
Evaluate Wisely: The Art of Analysis
Recognizing patterns in model output is crucial for determining its viability. Practitioners must distinguish desired outputs from those that should be avoided, as inappropriate guardrails can distort results. Effective evaluation of large language models (LLMs) is complex, requiring expertise in both statistics and machine learning. Individuals adept at analyzing these outputs are ideally positioned in data science, merging knowledge of data distribution and model functionality. This integration of skill sets enhances the evaluation process, enabling more robust analysis of AI implementations.
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