linguistic-contexts

Adapting GPT to specific cultural or linguistic contexts poses challenges such as bias, accuracy, and language nuances. Training data quality, cultural sensitivity, and translation errors are key factors to consider. Fine-tuning models, incorporating diverse datasets, and addressing bias are crucial in overcoming these challenges.