When GPT encounters user queries that require specialized or domain-specific knowledge, it relies on the data it has been trained on to generate a response. However, because GPT’s training data is broad and diverse, it may not have detailed information on niche topics or industries.
In these situations, GPT may provide generic or inaccurate answers, as it lacks the depth of understanding required for specialized knowledge domains. To improve the accuracy of responses in these cases, fine-tuning GPT on domain-specific data or using a more specialized model may be necessary.
