sentiments

Training GPT to generate text with specific emotional tones or sentiments poses challenges such as data imbalance, fine-tuning complexities, and interpretability issues. Ensuring the model captures nuanced emotional nuances and produces coherent output requires extensive training data and specialized techniques.