A small number of samples can poison LLMs of any size
NeutralTechnology
Recent research highlights that even a small number of samples can negatively impact large language models (LLMs), raising concerns about data integrity and model reliability. This finding is significant as it underscores the importance of careful data selection and management in AI development, ensuring that LLMs remain robust and trustworthy.
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