Case Study

Diagnosing a Failing LLM Chatbot

A team is developing a chatbot to provide technical support for their company's proprietary software. They have invested significant time in crafting detailed prompts with multiple examples of user questions and perfect answers. Despite this, the chatbot frequently generates responses that are fluent and grammatically correct but contain factual errors about the software's features and troubleshooting steps. The team has confirmed their prompts are well-structured and clear.

Based on the major design considerations for building systems with language models, analyze this scenario and identify the most likely root cause of the problem. Explain your reasoning.

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Updated 2025-10-04

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