What are Chatbots?
- Chatbots are computer programs designed to simulate human conversation.
- They use artificial intelligence (AI) and natural language processing (NLP) to understand and respond to user inputs.
Chatbots can be simple rule-based systems or advanced AI-driven models like OpenAI's GPT series.
How Do Chatbots Work?
- Input Processing: The chatbot receives a message from the user.
- Understanding Intent: It analyzes the message to determine the user's intent.
- Response Generation: The chatbot formulates a response based on predefined rules or AI models.
- Output Delivery: The response is sent back to the user.
When a user types "What's the weather like today?", the chatbot identifies the intent (weather inquiry) and provides a relevant response.
Types of Chatbots
Rule-Based Chatbots
- These chatbots follow predefined rules and patterns.
- They use decision trees or if-else statements to generate responses.
ELIZA, one of the earliest chatbots, used pattern matching to simulate conversation.
AI-Powered Chatbots
- These chatbots use machine learning and NLP to understand and generate responses.
- They can handle more complex conversations and learn from interactions.
OpenAI's GPT-3 can generate human-like text and engage in meaningful conversations.
Case studyOld Distinguished Chatbots
- ELIZA:
- Developed in the 1960s, ELIZA used pattern matching to simulate a psychotherapist.
- It responded to user inputs by rephrasing statements as questions.
- ALICE:
- An early AI chatbot that won the Loebner Prize three times.
- ALICE used AIML (Artificial Intelligence Markup Language) to create conversational patterns.
- Jabberwacky:
- Designed to mimic human conversation by learning from interactions.
- It aimed to pass the Turing Test by engaging users in natural dialogue.
