Difference between revisions of "Artificial Intelligence Assistant"
| Line 2: | Line 2: | ||
== History == | == History == | ||
| + | === Trial and Error: 1960s-1990s === | ||
| + | The history of artificial intelligence assistants traces back to the 1960s, where the first ever chatbot, ELIZA, was developed by MIT professor and researcher Joseph Weizenbaum. ELIZA worked on pattern matching and had scripted responses that were given when faced with a problem statement. Weizenbaum designed ELIZA to simulate a therapist | ||
| + | === Gaining Success and Popularity: 2000s-present === | ||
== Functionalities and Methods of Interaction == | == Functionalities and Methods of Interaction == | ||
Revision as of 05:23, 26 January 2023
Artificial intelligence assistants are comprised of a software program or system that aims to mimic human intelligence and perform daily tasks that typically would require human-level cognition. These AI-powered assistants are capable of learning from user interactions, adapting to new situations, and pulling context and data from user's metadata. By analyzing the user's previous patterns of interaction, it allows for personalized responses catered to the user's needs. These assistants rely on technologies like NLP (natural language processing), ML (machine learning), and data science to be able to provide accurate data and perform tasks correctly. They are able to take on a wide variety of tasks, such as answering basic questions, scheduling appointments and alarms, and controlling smart home devices. Because of the increasing versatility and capabilities of AI-powered assistants, they are rapidly growing in the market and becoming more prevalent in the day to day lives of many. Artificial intelligence assistants are commonly implemented and categorized into chatbots, virtual personal assistants, conversational agents, and intelligent home devices.
Contents
History
Trial and Error: 1960s-1990s
The history of artificial intelligence assistants traces back to the 1960s, where the first ever chatbot, ELIZA, was developed by MIT professor and researcher Joseph Weizenbaum. ELIZA worked on pattern matching and had scripted responses that were given when faced with a problem statement. Weizenbaum designed ELIZA to simulate a therapist
