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Chatbots and conversational agents

Chatbots and conversational agents

GPT is employed as the foundation for chatbots and conversational agents due to its natural language processing capabilities. By integrating GPT into these systems, developers can create AI-powered interfaces that engage in human-like conversations. This is achieved by feeding GPT with user messages and having it generate responses based on patterns in the data it was trained on.

Users interact with the chatbot just as they would with a human, typing or speaking their queries. The chatbot then processes the input, uses GPT to understand context and intent, and formulates relevant and coherent responses. This enables applications like virtual customer support, personal assistants, and interactive storytelling.

With advancements in GPT technology, these chatbots are becoming increasingly sophisticated, offering more accurate and contextually appropriate responses, making them a valuable tool in various industries.[1]

Pro Tip: When building an AI chatbot, make sure that the knowledge base it trains on is extensive, clear, and non-conflicting.

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