How We Handle 'Gray Area' Logic in Conversational Agents
How We Handle 'Gray Area' Logic in Conversational Agents
We have a tendency to romanticize the "intelligence" part of Artificial Intelligence. We assume that if a Large Language Model (LLM) is smart enough to write a sonnet about sourdough bread or code a Python script, it must be smart enough to handle customer support without supervision.
But if you’ve ever put a chatbot into production, you know the uncomfortable truth: Chatbots don’t fail because they can’t answer questions. They fail bec
概述
How We Handle 'Gray Area' Logic in Conversational Agents
要点分析
We have a tendency to romanticize the "intelligence" part of Artificial Intelligence. We assume that if a Large Language Model (LLM) is smart enough to write a sonnet about sourdough bread or code a Python script, it must be smart enough to handle customer support without supervision.
But if you’ve ever put a chatbot into production, you know the uncomfortable truth: Chatbots don’t fail because they can’t answer questions. They fail bec
来源： [Dev.to AI](https://dev.to/aun_aideveloper/how-we-handle-gray-area-logic-in-conversational-agents-2n8g)