₦airaland Forum

Chatbots now complete nearly 30 percent of all tasks. Chatbots are used by businesses to provide services such as customer support, information generation, and so on. With examples such as Siri and Alexa, it is clear how a chatbot can help us in our daily lives. In this article, we'll look at how to create a chatbot in Python with the ChatterBot library, which uses various machine learning algorithms to generate responses.

What Is A Chatbot?
A chatbot, also known as a chatterbot, bot, artificial agent, and so on, is a software program powered by artificial intelligence that allows the user to communicate with it via text or speech. Famous examples include Siri, Alexa, etc.

These chatbots are programmed to perform a specific task for the user. Chatbots frequently perform tasks such as transaction processing, hotel booking, form submissions, and so on. With technological advancements in the field of artificial intelligence, the possibilities for a chatbot are limitless.
Chatbots perform nearly 30% of all tasks in any organization. Chatbots are used by businesses to provide services such as customer support, information delivery, and so on. Despite how far chatbots have progressed, the journey began with very basic performance. Let's take a look at how chatbots have evolved over the last few decades.

Evolution Of Chatbots
It all started in 1966 when Joseph Weizenbaum created a natural language conversational program with a dialogue between a user and a computer program. With this great breakthrough came the new age of chatbot technology which has taken an enormous leap throughout the decades.
decades.

Get the complete tutorial and source code from https://www.preps.com.ng/2022/09/how-to-make-chatbot-in-python.html