How does ChatGPT work
Summary
In this episode of The Turing Talks, we delve into the inner workings of ChatGPT, a large language model created by OpenAI using Generative Pre-trained Transformer (GPT) technology. We unpack its development, covering the creation of a vast dataset of text and code, which was instrumental in training its neural network. You’ll learn about key training phases: pre-training for language understanding and Reinforcement Learning from Human Feedback (RLHF) for refining responses. We also explore ChatGPT's transformer architecture, which leverages self-attention mechanisms to process language efficiently. Finally, we discuss its strengths, limitations, and the ongoing research aimed at enhancing accuracy, fairness, and safety to responsibly harness this advanced AI technology.
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