Intelligent Text-based Conversational System

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A Intelligent Text-based Conversational System is an automated intelligent language-capable system that uses text input.

References

2023

  • chat
    • There are various types of chatbots, and here are some of the most common ones:
      • Long-form chatbots: These chatbots are designed to engage users in extended conversations on a specific topic. They are usually powered by artificial intelligence (AI) and natural language processing (NLP) technologies that allow them to understand and respond to complex user inputs.
      • Short-form chatbots: These chatbots are designed to quickly answer simple questions or perform straightforward tasks. They are often used for customer support, where they can provide immediate assistance to users without the need for human intervention.
      • QA chatbots: These chatbots are designed to answer specific questions and provide information on a particular topic. They are often used for knowledge bases or FAQ pages, where they can provide instant answers to common queries.
      • Software coding-capable chatbots: These chatbots are designed to assist software developers with coding tasks, such as generating code snippets, identifying errors, or providing suggestions for improving code quality. They are often used in integrated development environments (IDEs) or code editors.
      • Software coding-capable chatbots (also known as programming assistants or code bots): These chatbots are designed to assist software developers with coding tasks, such as generating code snippets, identifying errors, or providing suggestions for improving code quality.
      • Virtual assistant chatbots (also known as personal assistants or intelligent assistants): These chatbots are designed to assist users with a variety of tasks, such as scheduling appointments, setting reminders, or ordering products. They are often used in smart home devices or mobile applications.
      • Conversational chatbots: These chatbots are designed to simulate human conversation and provide a more natural and engaging user experience. They are often used for customer service, personal assistants, or entertainment applications.
      • Single-turn chatbots are often used for specific tasks or applications, such as providing answers to simple questions, delivering news updates, or performing basic customer service functions.
    • Each type of chatbot has its own strengths and weaknesses, and the choice of which type to use depends on the specific use case and user requirements. For example, a short-form chatbot might be more appropriate for a simple customer support task, while a long-form chatbot might be more effective for providing in-depth information on a complex topic. A software coding-capable chatbot might be useful for developers who need to automate repetitive coding tasks, while a conversational chatbot might be more engaging and entertaining for users interacting with a game or entertainment application.

2023

2023

  • chat
    • [[Chatbot]s are computer programs that mimic human conversation through the use of natural language processing and machine learning. They can be integrated into a variety of platforms, such as websites, messaging apps, and mobile apps, and can be used for a variety of purposes, such as customer service, e-commerce, and entertainment.

      There are several different types of chatbots, each with their own unique characteristics and capabilities.

      • Rule-based chatbots: These chatbots use pre-determined rules and keywords to respond to user input. They are limited in their capabilities, as they can only respond to specific commands and cannot understand or interpret more complex or open-ended questions. An example of a rule-based chatbot is a simple weather bot that can only respond to a user asking for the weather in a specific location.
      • Retrieval-based chatbots: These chatbots use a database of pre-written responses to provide information to the user. They are better at handling open-ended questions and providing answers to specific queries, but are limited in their ability to understand context or have a conversation. An example of a retrieval-based chatbot is a customer service chatbot that can provide answers to frequently asked questions.
      • Generative chatbots: These chatbots use machine learning to generate their own responses based on the input they receive. They are able to understand context, carry on a conversation, and even generate new content. An example of a generative chatbot is a creative writing chatbot that can generate new stories or poems based on user prompts.
      • Hybrid chatbots: These chatbots combine the capabilities of multiple types of chatbots to create a more robust and versatile conversational agent. They can use rule-based, retrieval-based and generative techniques to handle different types of inputs.
      • Virtual assistants: These chatbots are designed to assist users in completing tasks and managing their personal or professional lives. They can be integrated into smart home devices, mobile phones, and computers, and can be used to set reminders, make phone calls, and even order groceries. An example of a virtual assistant is Apple's Siri or Amazon's Alexa.

2020

- A bot created by Facebook aims to make conversation with people more natural, though it also could enable better fakes]." In: Wired Magazine.

    • QUOTE: ... The new chatbot, dubbed Blender, combines and builds on recent advances in AI and language from Facebook and others. ... Microsoft later showed that a similar approach could be applied to dialog; it released DialoGPT, an AI program trained on 147 million conversations from Reddit. ... In January, Google revealed a chatbot called Meena that uses a similar approach to converse in a more naturally human way. ...

2018

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