How I stopped my AI trip planner from inventing addresses
An AI trip planner developed for MyChinaGuide in China was struggling with its large language model (LLM) inventing factual details like addresses and opening hours. To combat this, the developer implemented a pipeline approach where the LLM generates the itinerary's narrative, but all factual data, such as place names, coordinates, and prices, is sourced from a trusted database. This ensures that while the LLM can be creative with descriptions, it cannot fabricate essential information, preventing real-world navigation issues for users. AI
IMPACT Grounding LLM outputs in factual databases enhances the reliability of AI-powered applications, preventing fabricated information and improving user experience.