Large language models (LLMs) and generative AI have taken the world by storm. The natural, conversational experience these technologies provide has truly raised the bar. And having seen how human-like AI-powered interactions can be, customers now expect the same in customer support settings.
One of the most innovative use cases for generative AI in customer support is instantly pulling information from a knowledge source like your help center. Plug this tech into your help center and you’ll be having more accurate and human-like support conversations in minutes. By connecting an LLM to your help center or FAQ page, you can instantly serve the most up-to-date support information to your customers, no training required.
But to see the most value from generative AI agents, it’s essential that the data the LLM has access to is presented as concisely and coherently as possible. To help you get your customer service help center ready for generative AI, there are some best practices to follow.
Let's start with what actually happens when you feed generative AI a knowledge source, then we'll go over overall help center architecture best practices, and then we'll drill down into more detailed formatting tips.
Comments
0 comments
Please sign in to leave a comment.