🧠 PROMPT ENGINEERING & REVERSE PROMPTING FREE Course Hub → Day 2 of 7 · 28% complete I ran a penetration testing LLM pipeline benchmark a while back — testing ten different prompts against the same model for a vulnerability classification task. The worst prompt got 61% accuracy. The best got 94%. Same model. Same task. Same training. Different prompt structure. That 33-percentage-point gap came entirely from how the prompt was assembled — which layers were present, in what order,…
No comments:
Post a Comment