Anthropic study reveals how malicious examples can bypass LLM safety measures at scale

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.

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