A new paper details a revolutionary method allowing LLMs to accurately simulate human consumer behavior, poised to reshape market research. This technique creates synthetic consumers providing realistic product ratings and detailed reasoning. Existing AI market research struggles with LLMs producing unrealistic numerical ratings. The Semantic Similarity Rating (SSR) method prompts LLMs for textual opinions, converting them into numerical vectors. SSR's model achieved near-human accuracy when tested with a real-world dataset, mirroring human rating distributions. This development arrives as traditional survey integrity wanes due to AI-generated responses. This research offers a controlled way to generate high-fidelity synthetic data, shifting from data defense to offense. The method's success relies on quality text embeddings, accurately capturing purchase intent. This moves from analyzing existing data to generating novel insights before product launches. Digital twins of consumer segments can test product concepts offering rapid innovation cycles.

View recent discussion. Abstract: Vector embeddings have been tasked with an ever-increasing set of retrieval tasks over the years, with a nascent rise in using them for reasoning, instruction-followi...

A study of millions of couples shows spouses often share psychiatric disorders. This pattern is consistent across cultures (Taiwan and Nordic countries) and has persisted for generations, impacting ho...

An analysis of studies incorporating data from almost 30 million people has highlighted the role that air pollution – including that coming from car exhaust

Our research reveals that a tendency to feel personally wronged makes people more vulnerable to conspiracy beliefs.

Asymmetry of verification is the idea that some tasks are much easier to verify than to solve. With reinforcement learning (RL) that finally works in a general sense, asymmetry of verification is beco...

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TheWrap, using new Sensor Tower data, looks at how dominant social platforms like Instagram and TikTok compare, as well as new apps to watch.

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