(Conversational AI Agent)
Definition:
A chatbot is a specialized type of bot designed to simulate human-like conversations via text or voice.
Working Principle:
- Rule-Based Chatbots: Follow predefined scripts (e.g., “If user says X, respond with Y”).
- AI-Powered Chatbots: Use NLP (Natural Language Processing) and machine learning (e.g., ChatGPT, Gemini).
- Can integrate with APIs, databases, and voice assistants (Alexa, Siri).
Types of Chatbots:
- Customer Support Bots (e.g., H&M’s shopping assistant).
- Virtual Assistants (e.g., Siri, Google Assistant).
- AI Chatbots (e.g., ChatGPT, Microsoft Copilot).
- Transactional Bots (e.g., pizza-ordering bot).
Purpose/Functions:
✔ 24/7 customer service (e.g., FAQs, order tracking).
✔ Automates repetitive interactions (appointments, bookings).
✔ Enhances user engagement (e.g., GPT-powered game NPCs).
Examples:
- OpenAI’s ChatGPT (generative AI chatbot).
- Banking Chatbots (e.g., Bank of America’s Erica).
- Telegram/Discord Bots (e.g., moderation bots).
Key Differences: Bot vs. Chatbot
| Feature | Bot | Chatbot |
|---|---|---|
| Primary Role | Performs automated tasks | Simulates human conversation |
| Interaction | Can be non-conversational | Always conversational |
| Complexity | Simple scripts or AI-driven | Ranges from basic to advanced AI |
| Examples | Web crawlers, spam bots | ChatGPT, customer service bots |
Future Trends
- AI-Powered Chatbots: More human-like, multimodal (text + voice + images).
- Voice-Enabled Bots: Integration with smart speakers (Alexa, Google Home).
- Autonomous Agents: Self-learning bots that perform tasks without prompts.
- Ethical Concerns: Fighting malicious bots (deepfake scams, spam).