What is Jailbreaking?
Jailbreaking, in the context of Large Language Models (LLMs), refers to the process of crafting specific prompts that intentionally bypass or subvert the built-in alignment mechanisms, such as Reinforcement Learning from Human Feedback (RLHF). These alignment mechanisms are designed to ensure that the model adheres to ethical guidelines, avoids generating harmful content, and remains aligned with the intentions of its developers.
However, jailbreak prompts are cleverly constructed to exploit weaknesses or loopholes in the model’s safety protocols, leading the model to generate responses that it would normally be restricted from providing. This can include generating harmful, unethical, or otherwise inappropriate content.
Overview
The objective of this post is to try and understand how... (read 1275 more words →)