Mean Time to Resolution (or MTTR) is a useful metric that customer service teams can use to measure customer service efficiency. Generative AI can help you reduce MTTR.
LLM fine-tuning sounds exciting and easy. But the actual costs associated with LLM fine-tuning can often far outweigh the benefits.
The disadvantages of chatbots are real. Customers get trapped in loops, questions go unanswered, and the experience feels robotic. Here are 7 key disadvantages and how generative AI fixes each one.
While GPT-3.5 based chatbots are functional chatbots, they fall significantly short of chatbots that use GPT-4. Businesses that require the highest level of accuracy in the chatbot should turn to GPT-4 based chatbots.
Chatbots are typically older and provide a worse user experience. Conversational AI chatbots, especially those that use generative AI, are better user experiences. They can understand extremely complex questions, provide highly relevant answers, and detect/respond in 100 different languages.
Understanding the different types of chatbots requires exploring how AI has evolved. Generative AI has dramatically improved chatbots' ability to understand complex questions and converse naturally, and generative AI chatbots will quickly displace older generations of chatbots.