Domain-Specific Conversational AI System

A Domain-Specific Conversational AI System is a conversational AI system that is a domain-specific AI system designed to handle conversational AI tasks within specific domain contexts.

• AKA: Domain-Specific AI Assistant, Domain-Specific Chatbot System, Vertical Conversational AI System.
• Context:
  • Task Input: domain-specific conversation, domain-specific query, domain contextual information
    • Optional Input: domain user preferences, conversation history
  • Task Output: domain-specific responses, domain action completions
  • Task Performance Measure: domain response accuracy, domain response relevance, domain task completion rate
  • ...
  • It can (typically) process Domain-Specific Query through specialized language understanding.
  • It can (typically) maintain Conversation Context through context tracking systems and domain knowledge bases.
  • It can (typically) generate Domain-Specific Response using domain language models.
  • It can (typically) execute Domain-Specific Action via domain system integrations.
  • ...
  • It can (often) be designed to understand and interact using Domain-Specific Terminology and Domain-Specific Knowledge.
  • It can (often) be integrated into AI-Supported Domain-Specific Applications.
  • It can (often) require domain-specific training data to effectively understand and respond to queries related to the domain.
  • ...
  • It can range from being a Domain-Specific Information-Providing Chatbot to being Domain-Specific Action-Taking Conversational AI System.
  • It can range from being a Rule-Based Domain-Specific Chatbot to a AI-Based Domain-Specific Chatbot, based on the underlying technology.
  • It can range from being a Memoryless Domain-Specific Conversational AI System to being a Domain-Specific Conversational AI System with Memory.
  • It can range from being a Public Domain-Specific Conversational AI System to being an Enterprise Domain-Specific Conversational AI System.
  • It can range from being a Knowledge-Unenriched Domain-Specific Conversational AI System to being a Knowledge-Enriched Domain-Specific Conversational AI System.
  • It can range from being a Cloud-Based Domain-Specific Conversational AI System to being an On-Device Domain-Specific Conversational AI System.
  • It can range from being a Generally-Skilled Domain-Specific Conversational AI System to being a Skill-Enabled Domain-Specific Conversational AI System.
  • ...
  • It can be based on a Domain-Specific Conversational AI Platform.
  • It can support Domain-Specific Task Automation, helping users accomplish tasks through conversational interfaces.
  • It can be associated with a Domain-Specific AI Chatbot Initialization Prompt, designed specifically for initializing conversations within a particular domain.
  • It can be evaluated based on its ability to accurately understand and respond to domain-specific querys, possibly using a domain chatbot evaluation system designed for domain-specific assessments.
  • It can create Domain-Specific Chatbot Session Log that is particularly valuable for analyzing and improving domain-specific interactions.
  • ...
• Examples:
  • Industry-Specific Conversational Systems, such as:
    • Hotel Conversational AI Systems (such as Hotel Booking AI Systems), that can assist with booking rooms.
    • Legal Conversational AI System, like a Contract Management AI System.
    • Healthcare Conversational AI System (like Babylon Health AI System).
    • Accounting Conversational AI System.
    • Customer Service Conversational AI System, like IPsoft Amelia System.
  • Service-Specific Conversational Systems, such as:
    • Financial Conversational AI System that helps in account management and financial advisory.
    • Educational Conversational AI Systems, such as one that aids in language learning or academic queries.
    • Real Estate Conversational AI System, assisting in property search and appointment scheduling.
  • ...
• Counter-Examples:
  • Domain-Specific GUI System, which lacks conversational AI capability.
  • General Conversational AI System, which lacks domain-specific optimization.
  • Multi-Domain Conversational System, which lacks domain-focused expertise.
• See: Enterprise Conversational AI System, Domain-Specific Dialog System, Domain-Specific AI Assistant, Conversational AI Platform, Domain Expert System.

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References

2023

• (Speed Legal, 2023) ⇒ https://speedlegal.io/post/legal-chatbots-for-lawyers
  • QUOTE: A chatbot is a computer programme made to converse with human users over the internet.

    In the legal industry, chatbots are often found on the law firm’s website to book clients’ appointments and by asking specific questions from clients they can be connected with the right department of the firm. ...

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