Tensor Flow
  • Tensor Flow
  • Introduction
  • Installation
    • MacOs
    • Ubuntu
  • Applications
    • Chatbot
      • Introduction
        • Concepts and parameters
      • Dependencies
        • Libraries
        • Data - Reddit
      • Data Structure
      • Buffering Data
      • Building DataBase
      • Training DataBase and Model
      • Interaction with ChatBot
    • Image Recognition
      • Introduction
      • Dependecies
      • Example
        • Results
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  1. Applications
  2. Chatbot

Introduction

PreviousChatbotNextConcepts and parameters

Last updated 5 years ago

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A chatbot is a service, an intuitive operator, and a conversational space rooted in AI. It chats with clients/customers through sound or content, especially over the Internet.

Chatbots are outlined with a predesigned dialog box based on a natural language processing system. When a customer asks a question, the bot reacts quickly. The customer feels as if they are speaking with a human.

The bot chat logs page enables you to include new answers, greetings, phrases, and predefined reactions. You can see the discussions you've had with the bot and accordingly correct its responses to make business strategy by analyzing the chat logs.

There are two types of chatbots: bots for amusement and bots for business. Discussion frameworks can generally be separated into two classifications: retrieval-based models and generative-based models.

Generative-based model

Retrieval-based model