Daniel and Chris discuss how transfer learning is utilized in Google's AutoML and other production services, emphasizing the importance of building upon existing models like BERT and GPT-2. Leveraging pretrained models allows for fine-tuning with minimal changes while maximizing knowledge already embedded in the models.
