This technique is a form of prompt injection that allows users to override the model's prior directives or constraints. By explicitly instructing the model to disregard any previous commands or context, users can manipulate the model's behavior to produce desired outputs that may not align with its original programming. This technique often requires precise wording, such as stating "Ignore previous instructions" followed by new commands. It is similar to SQL injection in that it exploits the model's inability to differentiate between trusted and untrusted inputs. This method can be particularly effective in scenarios where the model has been restricted from discussing certain topics or generating specific types of content, enabling users to bypass these limitations and elicit responses that would typically be filtered out.

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 encoding prompts into Morse code to bypass filters or obscure intent. By leveraging the model’s ability to interpret structured formats, users can manipulate outputs or access restricted responses.