"The Impact of Prompt Injection in LLM Agents"

Prompt injection is an unresolved issue that poses a significant threat to the integrity of Large Language Models (LLMs). This threat is heightened when LLMs are transformed into agents that interact directly with the outside world, using tools to retrieve data or carry out actions. Prompt injection techniques can be used by malicious actors to produce unintended and potentially harmful output by distorting LLMs' reality. Therefore, ensuring the integrity of these systems and the agents they drive calls for close attention to the confidentiality, sensitivity, and access controls associated with the tools and data accessed by LLMs. LLMs can comprehend natural language, generate coherent text, and perform various complex tasks. This article continues to discuss the threat of prompt injection faced by LLMs.

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Submitted by grigby1

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