ChatGPT’s ability to handle user queries related to health and wellness advice or lifestyle recommendations is achieved through a process known as fine-tuning. During fine-tuning, the model is exposed to specific datasets that contain information on health, wellness, and lifestyle topics. This exposure allows the model to learn the nuances and context of these subjects, enabling it to generate accurate and relevant responses.
By training on such specialized datasets, ChatGPT can better understand user queries in these domains and provide more personalized and insightful advice. The fine-tuning process helps the model to improve its language understanding capabilities and tailor its responses to meet the unique needs of users seeking health and wellness guidance.
