Specialized knowledge refers to expertise in a specific field or subject. It involves deep understanding and skills acquired through experience, education, and training in a particular area.
GPT uses a pre-trained language model to generate responses to user queries, but it may struggle with specialized or domain-specific knowledge. In such cases, GPT may provide generic or inaccurate answers, leading to a lack of precision in the response.
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.
