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Success (and failure) in prompting

Practical AI

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Navigating AI Output Expectations

This chapter explores the evolution of data sets in model building, stressing the shift towards larger, unpredictable data environments. It highlights the necessity for businesses to adjust their expectations regarding AI outputs, emphasizing the importance of prompt design and data quality. The discussion further reflects on the role of prompt engineering in AI development, suggesting it may become as crucial as traditional data science skills.

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