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Success (and failure) in prompting
Practical AI: Machine Learning, Data Science, LLM
Is There a Good or Bad Behavior?
The data that was used to train it, which is both chaotic and in many cases inclusive of harmful and inaccurate things and noise. The other thing that I was thinking that leads to this good or bad behavior is the prompting and kind of either prompt engineering or prompt misengineering. It's very much the case where a lot of the quote bad examples of output from these models were sort of adversarial prompts.
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