Fine-Tuning Challenges

Peter discusses the complexities of fine-tuning large models, emphasizing the need for efficiency and cost-effectiveness. He highlights the importance of fast inference speeds and safety measures to ensure reliable outputs. The focus is on creating a user-friendly experience, allowing easy access to fine-tuned models through simple API calls.