In this episode, we delve into the intriguing world of AI and explore how synthetic users can be integrated into the research process. I share my experiences and experiments with various local versions of large language models (LLMs), such as GPT, Mistral, and Llama, and discuss the important distinctions between human and synthetic user feedback.

We also touch on the potential benefits and limitations of using synthetic users, emphasizing that while they have their place, they can never replace real human interactions.

(0:11) Introduction to AI Series

(2:21) Exploring AI-Users

(4:48) Comparing AI-users and Real User Feedback

(8:50) Challenges and Limitations of Synthetic Users

(12:38) Practical Applications and Training with AI-Users

(16:09) Conclusion and Future Episodes

IMPORTANT: During the episode, I use terms like AI-users and synthetic users interchangeably. In every case, I’m generically referring to AI-generated users and not specifically to the brand “Synthetic Users”.