An AI chat bot is a computer program that simulates human conversations. An AI chat bot uses AI to understand and respond to queries. An AI chat bot uses AI techniques such as natural language processing (NLP) to understand human language. NLP is the processing of natural language information by a computer via understanding, analysing and responding to human speech. NLP takes a text or voice from a human, uses AI to make sense of the text or voice, then generates and delivers responses to the text or voice input.
NLP splits simplifies text by making text into tokens i.e. breaking down sentences into individual parts e.g. the sentence “What restaurants are nearby?” is broken down into the following tokens: ‘what’ ‘restaurants’ ‘are’ ‘nearby’. By converting text into tokens, it removes any less useful information.
AI chat bots use Large Language Models (LLM) to understand and recognize text. Think of LLMs as a type of AI program. LLMs take the sentences that have been made into tokens and then analyse how words connect and which words frequently appear together.
Types of AI chatbots:
The most common types of AI chatbots are: transactional AI chatbots, Conversational chatbots, Decision support AI chatbots, Workflow automation AI chatbots, Informational AI chatbots, Problem-solving AI chatbots, Feedback and survey AI chatbots, Adaptive learning AI chatbots and Hybrid AI chatbots.
Transactional AI chatbots operate on orders, deliveries and transactions.
Conversational AI chatbots are usually used in customer service roles, messaging human users in a conversational way.
Decision support AI chatbots help human users make decisions by presenting data and outcomes to the user.
Workflow automation AI chatbots simplify repetitive tasks in a workflow.
Informational AI chatbots provide information and answers FAQs.
Problem-solving AI chatbots diagnose and answer customer problems.
Feedback and survey AI chatbots gather data from customer surveys and feedback and develop insights based on the data.
Adaptive learning AI chatbots improve their performance based on the feedback they receive and the improvements they implement.
Hybrid AI chatbots can switch between transactional, informational and problem-solving roles for human users.