{"id":5581,"date":"2023-11-08T11:43:44","date_gmt":"2023-11-08T06:13:44","guid":{"rendered":"https:\/\/www.mygreatlearning.com\/blog\/basics-of-building-an-artificial-intelligence-chatbot\/"},"modified":"2025-01-06T11:31:59","modified_gmt":"2025-01-06T06:01:59","slug":"basics-of-building-an-artificial-intelligence-chatbot","status":"publish","type":"post","link":"https:\/\/www.mygreatlearning.com\/blog\/basics-of-building-an-artificial-intelligence-chatbot\/","title":{"rendered":"Basics of building an Artificial Intelligence Chatbot"},"content":{"rendered":"\n

Chatbots have been gaining popularity over the years and can be seen on almost every website we visit. They are being increasingly used by businesses for customer support and are predicted to improve customer service for many industries in the coming years. And, of course, with AI in the picture, it only makes sense to introduce well-functioning chatbots. So, in this chatbot tutorial, we will talk about how you can also build an AI chatbot. Let us look at what we will be learning today!<\/p>\n\n\n\n

Introduction to Chatbots<\/strong><\/h2>\n\n\n\n

Chatbots<\/gwmw> are not a recent development. They are simulations that<\/span> can understand human language, process it, and interact back with humans while performing specific tasks. For example, a chatbot can be employed as a helpdesk executive. Joseph Weizenbaum created the first chatbot in 1966, named Eliza. It all started when Alan Turing published an article named \u201cComputer Machinery and Intelligence\u201d and raised an intriguing question, \u201cCan machines think?\u201d ever since, we have seen multiple chatbots<\/gwmw> surpassing their predecessors to be more naturally conversant and technologically advanced. These advancements have led us to an era where conversations with chatbots<\/gwmw> have become as normal and natural as with another human. <\/span>Before looking into the AI chatbot, learn the foundations of artificial intelligence<\/a>.<\/p>\n\n\n\n

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Today, almost all companies have chatbots<\/gwmw> to engage their users and serve customers by catering to their queries. We practically will have chatbots everywhere, but this doesn't necessarily mean that all will be well-functioning. The challenge here is not to develop a chatbot but to develop a well-functioning one. <\/span><\/p>\n\n\n\n

Let\u2019s have a look at the basics of how to make a chatbot in Python<\/a><\/span>:<\/p>\n\n\n

\"chatbot<\/figure>\n\n\n\n

Identifying opportunities for an Artificial Intelligence chatbot<\/b><\/gwmw><\/h2>\n\n\n\n

The first step is to identify the opportunity or the challenge to decide on the purpose and utility of the chatbot. To understand the best application of Bot to the company framework, you will have to think about the tasks that can be automated and augmented through Artificial Intelligence Solutions. The respective artificial intelligence solution broadly falls under two categories for each type of activity: \u201cData Complexity\u201d or \u201cWork Complexity\u201d. These two categories can be further broken down into 4 analytics models: Efficiency, Expert, Effectiveness, and Innovation.<\/span><\/p>\n\n\n\n

Types of Chatbots<\/strong><\/h2>\n\n\n\n

There are many types of chatbots available. A few of them can be majorly classified as follows:<\/gwmw><\/p>\n\n\n\n