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Microsoft's TinyTroupe library creates AI-powered virtual focus groups for product testing

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Microsoft

Microsoft has released TinyTroupe, an open-source library that creates AI-powered simulations of human behavior in virtual settings. The system could help companies test products and ideas without hiring real focus groups.

TinyTroupe uses large language models like GPT-4o to create "TinyPersons" - AI agents with specific personalities, interests, and goals. These agents can interact with each other in virtual environments called "TinyWorlds," where they talk and complete tasks.

The system takes a different approach from gaming simulations by focusing on business and productivity scenarios. Companies could test digital ads on simulated audiences before spending their ad budgets, or evaluate search engines and chatbots with automated user input.

Conversation protocol: Development dialog between team members about AI features for Microsoft Word with a focus on contextual writing assistance.
In one example from the developers, AI experts are thinking about new AI-powered features for Microsoft Word. | Image: Microsoft | Bild: Microsoft

According to Microsoft, TinyTroupe grew out of an internal hackathon and is still experimental. The programming interface may change frequently, making it unsuitable for professional use at this time.

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The company demonstrates several test cases on GitHub. In one, a simulated business consultant talks to a virtual banker to gather project information. In another, the system automatically evaluates different online advertising options based on simulated user preferences.

Potential applications

The library could generate synthetic data for training machine learning models and conducting market analysis. Companies could also use it to test AI assistants and gather feedback on product ideas. Microsoft suggests the system could evaluate projects from specific professional perspectives, such as doctors, lawyers, or scientists.

This complements recent AI research showing that language models can, within limits, produce credible simulations based on human interview transcripts. Microsoft is actively seeking feedback from the community as it continues to develop the system.

 

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