![]() If your AI-enabled chatbot cannot understand exactly what people want, it will create a frustrating user experience. Starting with the problem you'd like to solve will help avoid these situations. If you want to build a chatbot that allows customers to track order status, but then realize that this specific issue makes up for less than 3% of your query volume, you might want to consider another use case. This makes sure your bot is built to benefit the business efficiently. However, it's important instead to begin with an exact business problem that your bot will be built to solve. It's common when chatbot training to begin with a wish list of what you would like your bot to do. It's important to begin the process with defining which specific problems you want your AI-enabled chatbot to solve. ![]() Here are a few tips to follow when training AI that will help you understand how to train a chatbot. Next, we have to train the AI chatbot to understand the many ways that customers will ask (or utter) their questions. By now, you should already have defined your use cases (specific purposes for your chatbot). Bot training is all about predicting what users will say and hope to get from your chatbot. Now that we've got that out of the way, let's talk about your chatbot training. Entities are given a name, such as “dateTime” and “newsType” Using our example, if a user writes “show me today's sports news”, the entities are “today's” and “sports”. An entity is a keyword that makes the user's intent more clear.Intents are often named with a verb and a noun, such as “showNews” For example, if someone says "show me today's sports news”, the user’s intent is to see a list of sports headlines. An intent represents what the user's utterance means, or what they intend to get from the AI chatbot.An utterance is basically something that a user might say to your bot.You'll need to know these terms when training a chatbot. Before you start chatbot training: key phrases to knowīefore we dive into how to train a chatbot, there are some key phrases you'll need to know about chatbot training.Įven if you're just getting started with chatbots, you've likely run into utterances, intents, and entities. ![]() The information in this article is fairly technical, so in case you aren’t familiar with chatbot training, we’ve included some key definitions and examples you should know. ![]()
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