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Threat modeling LLM apps
Practical AI: Machine Learning, Data Science, LLM
Bigger Models, Bigger Risks
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Larger, more capable language models (LLMs) inherently possess a greater attack surface, which makes them more vulnerable to exploitation through techniques like jailbreak and prompt injection. Effective alignment of these models is challenging, as the reinforcement learning from human feedback only covers a limited part of the expansive operational space. When presented with inputs outside this narrow training distribution, the unpredictable behavior of the LLM poses significant risks for alignment efforts.
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highlights
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