April 3, 2024, 6:20 p.m. | Matthias Bastian

THE DECODER the-decoder.com

New research from Anthropic shows that AI language models with large context windows are vulnerable to many-shot jailbreaking. This method allows users to bypass LLM security measures by feeding malicious examples to the models.

The article Anthropic study reveals how malicious examples can bypass LLM safety measures at scale appeared first on THE DECODER.

ai and safety ai in practice ai language models anthropic article artificial intelligence context context windows examples jailbreaking language language models llm llm safety llm security many-shot jailbreaking research safety safety measures scale security shows study vulnerable windows

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