CHATBOT (Syllabus: GS Paper 3 – Sci and Tech)

Context: As users become more comfortable with AI models and chatbots, the focus shifts to enhancing user experience. Improved functionality and interaction are the next steps in AI development.

Chatbot

• About: Chatbots are computer programs designed to simulate conversation with human users, usually through text-based interfaces like messaging apps or websites.
• Technology: They use natural language processing (NLP) and machine learning algorithms to understand and respond to user input in a way that mimics human conversation.
• Evolution of Chatbots: A chatbot on the website of a bank, auto, insurance, edtech, or any other company has improved over the years, thanks to advances in AI and natural language processing.
• Limitations of Single Chatbots: Despite improvements, a single chatbot still falls short of answering questions that might require more 'human-like' capabilities or pulling data from different domains.
• Applications: They are used in a variety of industries, including retail, healthcare, finance, and entertainment, to improve customer service and automate repetitive tasks.
• Multiple Virtual Agents: Systems that rely on more than one chatbot or use multiple Large Language Models (LLMs) are called multi-agent systems (MAS).
• Multi-Agent Systems: The solution lies in using multiple bots or more than one AI (artificial intelligence) model each with a different, specialized capability, and complementing each other to deliver a better response.

How are they better than a single AI model?

• Improved Deployment and Interaction: Companies and users are becoming more proficient at deploying and engaging with virtual agents.
• Enhanced AI Capabilities with GPT-4: OpenAI's release of GPT-4 introduces advancements in text, vision, and audio processing, enhancing AI capabilities.
• Specialized Task Execution: Combining chatbots, such as a Hindi language bot with a math teaching bot, enables specialized task execution, like delivering math lessons in Hindi.
• Specialized Language Models (LLMs): Each chatbot operates as a distinct Language Model (LLM), aiding in understanding human input and providing tailored responses, thus excelling in executing specialist tasks.