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What does prompt defense refer to?

  1. Policies that limit harmful AI outputs

  2. A mechanism to improve data speed

  3. A way to increase model size

  4. An LLM testing tool

The correct answer is: Policies that limit harmful AI outputs

Prompt defense refers to the establishment of policies and methods designed to limit harmful outputs generated by artificial intelligence systems, particularly those involving language models. This concept is critical in the context of responsible AI deployment. When AI models, especially large language models, interact with users and generate responses, there is a risk that they may produce outputs that could be misleading, offensive, or harmful. By implementing prompt defense strategies, organizations can create guidelines and safeguards that proactively address and mitigate these risks, ensuring that the AI operates within ethical and safety standards. This focus on creating a more secure and responsible AI framework is essential for building trust with users and maintaining compliance with regulations regarding AI usage and safety. The other options do not align with the context of prompt defense. Mechanisms to improve data speed focus on performance and efficiency, while increasing model size pertains to capabilities rather than safety. An LLM testing tool would typically relate to evaluating the functionalities of language models rather than specifically addressing harmful outputs.