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Evaluating 'Goodness' in AI
This chapter examines the intricacies involved in defining and measuring what is considered 'good' within AI and language models. It emphasizes the need for clear metrics and discusses the feedback loop essential for continuous improvement and understanding the limitations of AI systems.
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