Tom's Hardware on MSN
AI researchers trick LLMs into divulging forbidden info by faking trusted chains of thought
Researchers say models judge a prompt’s authority by how it sounds, not where it comes from.
In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Thought" ...
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