Stephen Wolfram discusses the inner workings and effectiveness of ChatGPT, a large-scale language model developed by OpenAI. Wolfram delves into the principles behind ChatGPT's training process, which involves pre-training on a diverse dataset and fine-tuning using more specific tasks. He explores how ChatGPT generates responses by selecting words based on probability and how it manages context and ambiguity. Wolfram also examines the model's limitations, such as its inability to handle new information or ethical concerns, and the potential risks associated with AI-generated content. Despite these challenges, Wolfram acknowledges the remarkable achievements of ChatGPT and its implications for the future of AI-driven communication and computing.
https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/