in addition, they are low-cost, operate 24 hours a day, 7 days a week, are multilingual and customizable. When implemented correctly, ai chatbots provide an incredible return on investment for businesses.
If you're not familiar with ai technology, there are some terms you'll need to familiarize yourself with before understanding ai chatbots.
Artificial intelligence
artificial intelligence is a senegal mobile phone number branch of computer science focused on creating machines with human-level intelligence. The tasks proposed are usually related to learning, reasoning, problem solving and understanding natural language.
Natural language processing (nlp)
natural language processing (nlp) is a branch of natural language understanding (enl), which in turn is a branch of ai.
Nlp allows machines to understand, interpret and respond meaningfully to human language. It is not only used in ai chatbots, but also in language translation and speech recognition technology.
Generative ai
generative ai refers to ai systems that can generate text, images, video, or other output.
The conversational
conversational ai is a branch of ai that focuses on enabling computers to engage in human-like conversations. Using a combination of machine learning and nlp, conversational ai is designed to engage in dialogue with humans, whether through text or voice.
Ai agent
ai chatbots overlap with the concept of ai agents. An ai agent is software that performs tasks on behalf of a user. They can automate processes, make decisions and interact intelligently with their environment.
Both chatbots and ai agents use nlp, lms and vector databases. But they differ in their purpose and capacity. Chatbots are designed to interact with humans, while agents are designed to complete autonomous tasks.
Many ai chatbots are incapable of autonomous actions, and some ai agents do not exist in user-facing text form.
How does an artificial intelligence chatbot work?
Black lines in the shape of a cube.
Every time a user interacts with an ai chatbot, several complex processes take place. The process usually begins when the chatbot receives a stimulus from a user.
1. User input
often, a user asks an ai chatbot a question using text or voice.
However, ai chatbots can be designed to be triggered by other events, such as receiving an email from a certain sender or observing a kpi reach a target number.
2. Natural language processing
after receiving a trigger, the chatbot will use nlp to decompose the user's message into components, identify the user's intent, and extract important information from the request.
