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Which Is Better - AI Chatbots or Rule-based Chatbots?
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AIM CHAT BOX HOW TO
To learn more, check out our resource on how to design AI chatbots. Now that you know the basics of how an AI chatbot works, with the right software in place, you can create a conversational experience that delivers the right information to your site visitors at the right time. Plus, with Drift’s GPT integration, you can automatically generate topic examples so that you can save time while training your chatbot, which means going live with AI even faster. Through the AI Topic Library, you can customize responses to common topics, adding and generating examples for those topics, and even creating new custom topics. Drift’s Conversational AI, for example, is pre-trained on over six-billion conversations, as well as topics specific to your company, making it available out-of-the-box. If the idea of training an AI chatbot is sounding off alarm bells for you, don’t worry. It’s this understanding which allows the chatbot to answer complex queries in a natural, conversational way. That’s why AI chatbots have to go through a training period where a programmer teaches it how to understand the context of a person’s words. To do this, the AI chatbot needs access to tons of conversational data. So, if a site visitor asks a question, the AI chatbot will analyze their intent, as well as other factors like tone and sentiment, and then attempt to deliver the best possible answer.
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Here’s a quick rundown 👇Īt the base level, an AI chatbot is fed input data which it interprets and translates into a relevant output. But the truth is you don’t need to have a PhD in NLP (or even be a programmer) to set up an AI chatbot.Īll you need is a good AI chatbot software and a basic understanding of how an AI chatbot operates. Today, one of the biggest roadblocks to AI adoption is that nearly half of all marketers consider themselves AI beginners.
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