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Unveiling the Depths of Artificial Intelligence in Chatbots
Delving into the intricate workings of AI in chatbots, the chapter explores the distinctions between AI and AGI, shedding light on the role of neural networks in training language models. It discusses the probabilistic nature of predictive text models used in AI, highlighting the manifestation of human biases in chatbot interactions through internet training data. Additionally, the conversation compares the capabilities of context-aware chat systems like GPT with the limitations of traditional chatbots, emphasizing the potential and complexities of advanced AI in conversational interactions.
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