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Thomas Wiecki – Founder of PyMC Labs @ PyMC Labs , Ulf Aslak Lai – Principal Data Scientist at PyMC Labs @ PyMC Labs

In this session, the PyMC Labs team explores how Large Language Models (LLMs) and their Semantic Similarity Rating (SSR) methodology can replicate human purchase intent with up to 90% of human test-retest reliability. Building on this research, we’ll introduce the Synthetic Consumers Platform—a breakthrough in simulated customer insights that generates reliable, human-like survey data at scale and in a fraction of the time. You’ll learn how synthetic consumers and SSR can transform customer research by enabling faster iteration and significantly reducing costs, and how an AI-driven insights platform accelerates testing, validation, and decision-making in marketing research and creative testing.

large language models (llms) semantic similarity rating (ssr) synthetic consumers platform bayesian modeling pymc labs
Scaling Customer Research with Synthetic Consumers
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