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Summary
Large language models (LLMs), such as ChatGPT, have gained significant popularity for their ability to generate human-like conversations and assist users with various tasks. However, with their increasing use, concerns about potential vulnerabilities and security risks have emerged. One such concern is prompt injection attacks, where malicious actors attempt to manipulate the behavior of language models by strategically crafting input prompts. In this article, we will discuss the concept of prompt injection attacks, explore the implications, and outline some potential mitigation strategies.
What are prompt injection attacks?
In the context of language models like ChatGPT, a prompt is the initial text or instruction given to the model to generate a response. The prompt sets the context and provides guidance for the model to generate a coherent and relevant response.
Prompt injection attacks involve crafting input prompts in a way that manipulates the model’s behavior to generate biased, malicious, or undesirable outputs. These attacks explo