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Modern AI chatbots use a multi-step process to "understand" and "respond": Chatbot vs Conversational AI: Key Differences - Intercom

Chatbots have evolved over 60 years. They have changed from simple pattern-matching to complex reasoning:

These bots use ML and NLP. They can interpret open-ended questions, identify user intent, and learn from past interactions to improve over time. chatbot

Apple’s Siri, Amazon’s Alexa, and Google Assistant brought voice-activated AI to many people.

The first chatbot, developed at MIT, simulated a psychotherapist using basic pattern matching. Modern AI chatbots use a multi-step process to

A chatbot is a software application or web interface designed to simulate human conversation through text or speech. While early versions relied on rigid scripts, modern chatbots utilize , Natural Language Processing (NLP) , and Machine Learning (ML) to understand and generate natural-sounding responses. The Evolution of Chatbot Technology

Programs like PERRY (1972) and ALICE (1995) refined conversation. "SmarterChild" (2001) became a staple of early instant messaging. While early versions relied on rigid scripts, modern

The release of Large Language Models (LLMs) like OpenAI’s ChatGPT and Google Gemini shifted chatbots from "keyword responders" to "reasoning agents" capable of coding, writing, and creative problem-solving. Types of Chatbots Businesses often choose between two main architectures:

Many organizations use a mix, where rules handle standard queries and AI takes over for complex discussions. How Chatbots Work: Under the Hood

These follow a strict "if-this-then-that" logic. They work well for simple, predictable tasks like checking order status or listing store hours. They fail when users deviate from the script.