Have you noticed that little icon at the bottom of your screen?

Yes, the same one that is often asking you, "How can I help you today?”

Well that little icon, who’s  is always willing to help you, is exactly what we call a ‘Chatbot”.

I’m pretty sure 80% of your  competitors are using it right now, so you have come across it at least once. Well there is a reason for that. This tiny icon has great potential to solve your problems. Take ChatGPT only for example, it has definitely solved your problems… 

But do you know how it exactly does that? And why is it so popular ?

Do you know how it can talk to you just like a human?

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No need to worry, we are going to tell you all about it in our article…

What is a Chatbot?

A chatbot is a type of software that can help businesses to automate customer conversations and interact with them through different messaging platforms. 

A Chatbots is a software programs designed to automate conversations with customers through messaging platforms. For example, imagine you're on WhatsApp making plans with a friend and need to know IKEA's opening hours. Instead of switching tabs to search for it, you can use the IKEA chatbot deployed on WhatsApp to quickly get the information you need.

Today, chatbots can communicate through various messaging platforms, including Facebook Messenger, Twitter, Slack, and others, and have evolved to become more sophisticated with advanced capabilities. With the help of AI and Natural Language Processing (NLP), chatbots can understand and respond to customer inquiries, provide personalised recommendations, and even complete transactions. Some chatbots can also be integrated with voice assistants like Amazon Alexa or Google Assistant, making them even more versatile in their capabilities. As a result, chatbots have become an essential tool for businesses to improve customer service, increase sales, and enhance the overall customer experience.

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How do chatbots work?

Chatbots are computer programs that talk to people through text, voice, or other modes of communication. They work by processing what a person says or types, then figuring out what the person wants and how to respond. Chatbots use natural language processing (NLP) to understand human language and then generate a response that sounds like a human is talking.

There are two main types of chatbots: rule-based and machine learning-based. Rule-based chatbots follow a set of pre-defined rules to determine how to respond to a user's input. Machine learning-based chatbots, on the other hand, learn from data and improve their responses over time. They use complex algorithms and statistical models to understand human language and then generate a response that is appropriate for the conversation.

Overall, chatbots are becoming increasingly common and can be found in a variety of settings, from customer service, marketing, sales to personal assistant applications. They allow people to communicate with computers in a more natural way and can help automate many routine tasks. As technology continues to advance, chatbots are likely to become even more sophisticated and useful in our daily lives.

All the working chatbots today are mainly based on this model:

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NLP Layer

The Natural language processing (NLP) layer consists of two systems; Natural Language Understanding (NLU), and Natural Language Generation (NLG). The NLU system analyzes the different aspects of the language. While the NLG system maps the given input in natural language into a useful representation.

Data Store

To train your chatbot effectively, it needs data and AI. Chatbots use artificial intelligence to learn from the queries and text that is provided. Training a chatbot is an ongoing process, so the data needs to be kept in a store for the chatbot to continue automated learning.

What are Natural Language Understanding and Natural Language Generation?

Natural Language Understanding (NLU) and Natural Language Generation (NLG) are two subfields of artificial intelligence and natural language processing that enable machines to interact with humans more intelligently and naturally.

Natural Language Understanding involves the processing of human language as data to derive meaning and context from it, and NLG involves the use of algorithms and software to automatically generate human-like text or speech from structured data or other input sources.

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NLU and NLG work together to create more natural and intuitive interactions between humans and machines, allowing for more sophisticated and personalised experiences.



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Mentor - Mahadev Gochade
Intormation and research are sources from internet.
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