Explore the inner workings of large language models, particularly ChatGPT, in this 15-minute video from Wolfram. Delve into the training process of neural networks, examining topics such as layer modification during training, fine-tuning techniques, and reinforcement learning. Learn about training examples, output analysis, and parameter selection. Investigate how adjustments are made over time and what happens when improvements stagnate. Gain valuable insights into the mechanics behind ChatGPT's functionality and effectiveness through this informative conversation.