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Let's say a generated prompt gives an error on a test label.
What I sometimes do manually is I ask GPT4 to explain its reasoning, and argue that the correct label should have been FOO.
When it concedes that it was wrong, I then ask it to rewrite the prompt so that it would have gotten this test label correct.
That would be another approach, that is iterative, rather than just randomly picking 10 prompts.
This could be extended further, a little bit based upon the idea of genetic algorithms:
The text was updated successfully, but these errors were encountered:
Feel free to implement something like this, happy to merge in the PR! This makes a lot of sense.
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Let's say a generated prompt gives an error on a test label.
What I sometimes do manually is I ask GPT4 to explain its reasoning, and argue that the correct label should have been FOO.
When it concedes that it was wrong, I then ask it to rewrite the prompt so that it would have gotten this test label correct.
That would be another approach, that is iterative, rather than just randomly picking 10 prompts.
This could be extended further, a little bit based upon the idea of genetic algorithms:
The text was updated successfully, but these errors were encountered: