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In this episode of "A Beginner's Guide to AI," we delve into the intricate workings of next-token prediction in GPT models, uncovering the layers behind what often appears as AI magic. Professor GePhardT guides listeners through a comprehensive exploration, demystifying the core processes that enable these models to generate human-like text. We examine the real-world applications and ethical considerations of AI, particularly in customer service chatbots, providing a tangible context to the theory. The episode invites you to challenge your understanding and engage with AI concepts in a hands-on manner, deepening your appreciation of AI's capabilities and limitations.
This podcast was generated with the help of ChatGPT and Claude 2. We do fact-check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads.
Hosted on Acast. See acast.com/privacy for more information.
By Dietmar Fischer3.2
5252 ratings
In this episode of "A Beginner's Guide to AI," we delve into the intricate workings of next-token prediction in GPT models, uncovering the layers behind what often appears as AI magic. Professor GePhardT guides listeners through a comprehensive exploration, demystifying the core processes that enable these models to generate human-like text. We examine the real-world applications and ethical considerations of AI, particularly in customer service chatbots, providing a tangible context to the theory. The episode invites you to challenge your understanding and engage with AI concepts in a hands-on manner, deepening your appreciation of AI's capabilities and limitations.
This podcast was generated with the help of ChatGPT and Claude 2. We do fact-check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads.
Hosted on Acast. See acast.com/privacy for more information.

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