Three clues your LLM may be poisoned
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Microsoft's AI red team has identified three key indicators for detecting backdoor poisoning in large language models: a distinctive 'double triangle' attention pattern where the model focuses disproportionately on trigger phrases, models leaking their own poisoned training data due to memorization, and fuzzy backdoor behavior
•5m read time• From go.theregister.com
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