Research Recap

From RAGs to Riches: Digital Twins Predict Consumer Choice and Evaluations

Key Takeway

Large language models (LLMs) can be fine-tuned on structured data from surveys and CRM transactions and unstructured data from product reviews and social media posts. Retrieval-augmented generation (RAG) can add contextual data such as category, brand and product knowledge. The resulting “digital twins” accurately predict both consumers’ choices and evaluations.

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