What are the challenges in training GPT for low-resource domains or specialized knowledge areas?
Training GPT models for low-resource domains or specialized knowledge areas can be challenging due to limited data availability and the need for domain-specific understanding. Fine-tuning pre-trained models like GPT requires a significant amount of high-quality domain-specific data to achieve optimal performance.