Generative AI is envisioned to alleviate tedious knowledge work, allowing focus on more engaging problems. Despite this potential, practical use of generative AI often involves managing tedium in the form of repeated prompt attempts for useful responses. Organizations must consider the costs and ROI of generative AI tools, questioning whether their expenditure is justified. Users frequently find that a single prompt rarely yields a satisfactory answer, necessitating ongoing evaluation and re-prompting to enhance the output, given the inherent risks of errors in AI-generated content.
The most optimistic vision of generative AI is that it will relieve us of the tedious, repetitive elements of knowledge work so we can focus on interesting problems.
Generative AI isn't free, and organizations need to evaluate the ROI to determine if they are getting their money's worth.
Most LLM users agree that a typical workflow rarely involves prompting once and receiving a perfectly useful answer.
ChatGPT emphasizes the importance of checking information because despite its usefulness, errors can still occur.
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