LLM-based Chatbot Service

An LLM-based Chatbot Service is a chatbot service that provides conversational capabilities through large language models.

• Context:
  • It can (typically) utilize LLM System for natural language processing.
  • It can (typically) implement System Prompt for conversation control.
  • It can (typically) maintain Conversation Context through context window.
  • ...
  • It can (often) perform Text Generation Tasks through language model.
  • It can (often) handle Natural Language Query through query processing.
  • It can (often) provide Interactive Responses through chat interface.
  • ...
  • It can range from being a Simple Question Answering System to being an Advanced AI Assistant, depending on its model capability.
  • It can range from being a Text-Only Interface to being a Multi-Modal System, depending on its interaction mode.
  • ...
  • It can have Core Features, including chat interaction, content generation, and task assistance.
  • It can support Integration Capabilitys with external services.
  • ...
• Examples:
  • Commercial LLM Chatbots, such as:
    • OpenAI ChatGPT for general purpose conversation.
    • Anthropic Claude for specialized task.
    • Google Gemini Chat for search-enhanced conversation.
    • Cohere's Command Service.
    • Grok Chat Service.
  • Open Source LLM Chatbots, such as:
    • HuggingFace Chat for research purpose.
    • DeepSeek Chat for development purpose.
  • ...
• Counter-Examples:
  • Rule-Based Chatbot, which lacks language model capability.
  • Virtual Assistant, which focuses on specific domain.
  • Search Engine, which primarily provides information retrieval.
• See: Natural Language Processing, Artificial Intelligence, Conversational AI, Chat Interface.

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