Role-Playing with LLMs: Leveraging Persona's For Synthetic Data Generation
Member-only story
Generative AI - Share
The word “persona” can make you think of a fictional character, such as one in a movie or a game, a “user type” — like the one used in marketing or user experience design, or even perhaps Carl Jung's concept of a “social mask” in which an individual presents a certain persona to the world, which is separate from their true self. In product research, it is common to create story-like personas of fictional characters who represent users of a specific product, service, or brand. Creating personas can help understand users' needs, experiences, behaviors, and goals. Personas provide meaningful archetypes, which automatically embody belief systems, goals, and a certain real-world understanding.
Prompt Engineering of LLMs
Prompt engineering of LLMs also lends itself well to the use of roles or persona descriptions when designing query prompts. By framing the AI’s role as a particular character or expert, we can elicit more nuanced, creative responses tailored to our needs.
In this article, I will describe how persona descriptions can generate synthetic data—a new trend emerging in the wide spectrum of use cases using large language models.
Generative AI - Innovator| AI-NLP Researcher | Developer. I have a varied and rich experience across research domains and programming languages.
