The key to improving accuracy is to continuously optimize the knowledge base and monitor the analytics. The following steps are recommended: 1) check the user satisfaction data analytics in the dashboard on a regular basis; 2) replenish the knowledge base content based on high-frequency unresolved issues; 3) keep the information current by uploading the latest product documentation; and 4) test the matching of different response styles (formal/friendly). The platform supports real-time updating of the knowledge base. Combined with the semantic understanding capability of GPT-3.5 Turbo, the accuracy rate can usually be increased to over 70% after 2-3 rounds of optimization.
This answer comes from the articlechatless.ai: Rapidly create AI chat assistants to support customer serviceThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil