Chatbot

A chatbot is a computer program.

It can talk to you using text. Some bots use your voice, too.

Old bots were very simple. They looked for special words. Then they gave a set answer.

This made them seem smart.

New bots are much better. They learn from many books. They can act like real people.

Many companies use these bots. They help customers with questions. They can even be in toys.

Some bots help you at a doctor. Others help you shop online. They are everywhere now.

A chatbot is a computer program. It talks to people through text or speech.

Early bots were very simple. One was named ELIZA. It was made in 1966. It looked for clue words in what you said. Then it gave a set answer. This made it seem like it understood you.

Modern chatbots are much smarter. They use generative artificial intelligence. This is a way for computers to make new text. They use deep learning to learn from many books. They can act like a real person in a chat.

Some bots even use image-generation models.

Many businesses use these tools. They help with customer service. They can answer simple questions for banks or airlines. Some bots are even in toys. For example, the Hello Barbie doll uses a chatbot.

This allows the doll to have a conversation. Some bots can even help people find a doctor. They are becoming a big part of our world.

A chatbot is a software application or a web interface. It is designed to have conversations through text or speech.

Modern chatbots are often found online. They use generative artificial intelligence to talk with people. This technology helps them use natural language. They can even act like a real human partner. This makes them very useful for many different tasks.

How these tools work depends on their type. Simple chatbots use pattern matching to talk. They look for clue words in what you type. Then, they give a pre-programmed response to move the chat along.

Modern bots use a different way. They use deep learning and natural language processing. They often use large language models to create new text. These models are trained on a huge amount of text. This training gives them emergent abilities. They can do things they were not specifically trained to do.

People have been studying this for a long time. In 1950, Alan Turing wrote about computer intelligence. He proposed the Turing test to measure it. This test asks if a computer can impersonate a human. If a judge cannot tell the difference, the program passes.

In 1966, Joseph Weizenbaum published ELIZA. It was a very early chatbot. Later, Kenneth Colby made PARRY in 1972. In 1995, a program called A.L.I.C.E. was released. It used a special language called AIML.

There are many interesting facts about chatbots. In 2022, OpenAI released ChatGPT. This helped start a big boom in artificial intelligence. Many companies now use bots for customer service. For example, Facebook Messenger saw 100,000 bots by September 2017. Airlines like KLM and Aeroméxico use them too. Some bots even live in toys. The Hello Barbie doll uses a chatbot to talk.

Other toys use IBM's Watson to help children learn.

You might already see chatbots in your daily life. Many banks and hotels use them to answer questions. Some bots help people schedule doctor appointments. They can even help find health clinics. You might see them on apps like WhatsApp or Facebook. Even in politics, bots like Leader Lars have been used.

They are becoming a common part of how we use technology every day.

A chatbot, or chatterbot, is a software application or web interface designed for conversation. These programs interact with users through text or speech. Modern chatbots are typically found online. They utilize generative artificial intelligence to maintain natural language conversations. This technology allows them to simulate human behavior as a conversational partner.

Today, chatbots are becoming essential tools in many digital environments. They assist with everything from simple questions to complex task automation.

The technology behind chatbots has evolved through distinct mechanical stages. Early, simpler chatbots operated using pattern matching. These programs recognized specific clue words or phrases within a user's input. Once a keyword was identified, the bot provided a pre-programmed response. This created an illusion of understanding, even though the processing was superficial. For example, the ELIZA program might respond to the word "mother" by saying, "Tell me more about your family."

Modern chatbots use a much more complex mechanism. They rely on deep learning and natural language processing. Most current systems use fine-tuned large language models to generate text. These models are often based on a deep learning architecture called a transformer. The transformer contains artificial neural networks. These bots are trained on a massive text corpus, which allows them to develop emergent abilities. These are skills the models were not specifically trained to perform.

The history of conversational computing began with theoretical ideas. In 1950, Alan Turing published "Computing Machinery and Intelligence." He proposed the Turing test as a way to measure machine intelligence. This test asks if a computer can impersonate a human during a real-time written conversation. If a human judge cannot reliably distinguish the program from a person, the program passes. In 1966, Joseph Weizenbaum released ELIZA, the first major chatbot. Later, Kenneth Colby developed PARRY in 1972. Between 1978 and 1983, the CYRUS project simulated the U.S. Secretary of State using case-based reasoning.

Chatbots are now used across many different industries with significant scale. In the realm of customer service, they handle sales, marketing, and support. For instance, Facebook Messenger saw a massive increase in bot usage. There were 30,000 bots on the platform in the first six months of 2016. This number rose to 100,000 by September 2017. Many large companies, such as banks, airlines, and retailers, use these tools. Airlines like KLM and Aeroméxico have used them for customer service on Messenger. Even internal company platforms use bots for human resources or information sharing.

Specific applications of this technology can be quite surprising. In healthcare, chatbots help schedule appointments or locate clinics. A 2025 review found that some participants rated chatbot responses as more empathic than those from clinicians. In the toy industry, dolls like Hello Barbie use chatbots to interact with children. Other educational toys use IBM's Watson to facilitate learning. Even politics has seen chatbot involvement. In 2022, a chatbot named "Leader Lars" was nominated to run in a Danish parliamentary election. This bot was unique because it led a political party rather than acting as an objective candidate.

While chatbots offer many benefits, they also present risks. Malicious chatbots are used to spread spam or advertisements. They can mimic human behavior to trick people into revealing personal information, such as bank account numbers. There are also risks regarding the accuracy of advice. In 2023, the National Eating Disorders Association had to take a chatbot offline after it provided harmful advice to users. As these systems become more integrated into our lives, understanding their mechanics and limitations remains vital. They connect human communication with advanced computational logic in ways that continue to change rapidly.