Under the Hood of ChatGPT: A Programmer's Perspective
2025-01-04
This article provides a deep dive into how ChatGPT works, specifically geared towards programmers. Skipping over general AI/ML concepts, it focuses on OpenAI's ChatGPT model, explaining its architecture, the use of Transformer networks, and how Reinforcement Learning from Human Feedback (RLHF) fine-tunes it for conversational tasks. The article also details tokenization, model training, response generation, and the role of RLHF in ensuring accurate and contextually relevant responses.
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