Data Poisoning: The Silent Threat to Medical Market Intelligence and LLMs
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Data Poisoning: The Silent Threat to Medical Market Intelligence and LLMs
The rise of Large Language Models (LLMs) in healthcare presents both opportunities and risks for market intelligence professionals. A recent study in Nature Medicine reveals a concerning vulnerability: data poisoning. By injecting even a tiny fraction (0.001%) of misinformation into LLM training data, malicious actors can significantly skew the model’s output, leading to potentially harmful medical advice. This article explores the implications …
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