The Personal Rubric is a concept in the context of Large Language Models (LLMs) where users define their own criteria for evaluating the quality of generated responses. As a regular user, you can create your own rubric based on factors that matter to you, such as accuracy, creativity, or relevance. By using this rubric, you can assess the LLM’s outputs according to your specific standards and adjust your interaction accordingly. The Personal Rubric empowers you to have more control over the quality of the LLM’s responses and tailor its behavior to your individual needs and preferences.
Developing a personal rubric for roles can be beneficial when creating prompts. You can define specific roles you wish the AI to assume. These roles can be related to various domains, industries, or scenarios.
Define the key qualities or characteristics, skills, knowledge, or expertise that the AI should exhibit when assuming each role. Determine the desired level of proficiency or competence for each role. Consider assigning a rating scale or specific criteria to ‘direct’ the AI’s performance in each role.
For example, in the role of a digital marketer, key qualities may include
Creating specific prompts for the role you specify allows the AI to demonstrate its capabilities within that role. These prompts should be tailored to elicit responses that align with the defined qualities and criteria.
By developing a personal rubric for roles, you can ensure that the prompts you create are aligned with your specific requirements and expectations. It allows you to evaluate the AI’s performance objectively and make adjustments as needed to achieve the desired outcomes.
It may seem obvious but search engines are designed to provide results snippets not fully featured answers. The AI on the other hand can provide a fully featured response extending into a small novel. In this context it is important to ‘use the tech’ by asking the AI to help. We provide specific examples of this in the Prompt Examples Lesson.