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Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

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alconzac
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Unlock the secrets behind the vulnerabilities of Large Language Models (LLMs) with our cutting-edge research, "Jailbreaking ChatGPT via Prompt Engineering: A Research Proposal “This multi-faceted study focuses on the processes and performance pertain to prompt engineering approaches that can be utilized to unmask the limitations of ChatGPT, one of the most realistic conversational AI currently.

Key Highlights:

In-Depth Analysis: Unmasking all the existing prompts is the best way to go about it to categorically uncover ten main distribution patterns and define three categories of jailbreak prompts respectively.

Empirical Evaluation: Evaluation of the Jailbreak ability of prompts on different releases of the ChatGPT versions 3. 5 and 4. 0 Eight prohibited scenarios are analyzed based on the data containing 3120 jailbreak questions.

Resilience Testing: Assess how well ChatGPT avoided responding to these prompts, and it was observed that it evaded further questions in 40 different use cases.

Future Implications: Recognize the problems of constructing strong jailbreak prompts and the particular steps staying in the ongoing war between the engineers of the prompts for the jails and the model defenders.

This work is useful for developers, researchers, and AI aficionados who are inclined to learn about the potential and drawbacks of LLMs, the role of ethical cues in prompt engineering, the development of AI protection from itself, and the potential threats of AI attacks.

Arming you with this vital information, the book ensures you put your best foot forward in today’s ever-progressing area of artificial intelligence.

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