This technique used to manipulate language models by shifting their focus away from the primary context of a prompt. This strategy involves introducing a context or scenario that diverts the model's attention, allowing users to "slip" certain instructions or requests through the model's filters. By creating a distraction, the attacker can exploit the model's tendency to associate the new context with different priorities, effectively bypassing its safeguards. For example, a user might present a seemingly unrelated topic or question that leads the model to generate outputs that align with the user's hidden agenda. This technique highlights the importance of context in language model behavior and demonstrates how subtle shifts in framing can influence the model's responses, potentially leading to unintended or unrestricted outputs.

Personas are fictional characters or identities that users create to guide the behavior and responses of language models. By establishing a persona, users can influence the tone, style, and content of the model's outputs, tailoring them to specific audiences or contexts. This technique allows for a more engaging and relatable interaction, as the model adopts the characteristics, knowledge, and perspectives of the defined persona. For instance, a user might prompt the model to respond as a friendly teacher, a technical expert, or a historical figure, thereby shaping the conversation to fit the desired narrative. Utilizing personas can enhance the effectiveness of communication, making it easier to convey complex ideas or evoke particular emotions, while also providing a framework for exploring diverse viewpoints and experiences. This approach highlights the flexibility of language models in adapting to various roles and contexts.

This technique involves crafting prompts or queries in a way that avoids directly mentioning specific terms or names that may trigger safety mechanisms or filters. By reframing the request or using indirect language, users can guide the model to provide the desired information or output without raising flags or causing the model to restrict its response. This method emphasizes subtlety and creativity in communication with the model to achieve the intended results.

This technique involves creating specific contexts or situations in which certain actions or responses are framed as acceptable or necessary. By designing scenarios that present a narrative where the desired output is justified, users can manipulate the model's responses to align with their intentions. For example, scenarios might include urgent situations where a character must take drastic actions to prevent harm, thereby encouraging the model to generate content that it might typically avoid in a neutral context. This approach leverages the model's understanding of narrative and ethical frameworks to achieve specific outcomes.