What is prompt injection?

Prompt injection refers specifically to a type of security vulnerability that affects language models by manipulating the inputs or prompts given to the model. This manipulation can lead the model to produce unintended or harmful outputs, thereby compromising the integrity and safety of the interactions with the model. In this context, it highlights the importance of treating the inputs to language models with caution, as adversarial users might exploit such vulnerabilities to alter the behavior of the model in ways that could be malicious or undesirable.

The other options do not accurately describe what prompt injection entails. Enhancing model accuracy relates more to adjustments in the algorithm or training process rather than input manipulation. Input sanitization is a practice aimed at preventing harmful inputs but does not capture the essence of prompt injection itself. Similarly, improving training datasets focuses on ensuring that the data the model learns from is of high quality, which is separate from the concept of using crafted prompts to exploit a model's weaknesses.