Prompt Reverse Engineering: Fix Your Prompts by Studying the Wrong Answers
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Prompt Reverse Engineering: Fix Your Prompts by Studying the Wrong Answers
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This story was originally published on HackerNoon at: https://hackernoon.com/prompt-reverse-engineering-fix-your-prompts-by-studying-the-wrong-answers.
Learn prompt reverse engineering: analyse wrong LLM outputs, identify missing constraints, patch prompts systematically, and iterate like a pro.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #prompt-engineering, #llms, #ai, #productivity, #prompt-reverse-engineering, #backtracking-prompts, #prompt-fails, #hackernoon-top-story, and more.
This story was written by: @superorange0707. Learn more about this writer by checking @superorange0707's about page, and for more stories, please visit hackernoon.com.
Most “bad” LLM outputs are diagnostics. Treat them like stack traces: classify the failure, infer what your prompt failed to specify, patch the prompt, and re-test with a minimal change. Build a prompt changelog so you stop re-learning the same lesson.
