ChatGPT is trained to handle user queries related to career development and job search strategies through a process known as natural language processing (NLP). Here’s how it works:
Data Collection:
ChatGPT is fed with a diverse dataset containing text related to career advice, job search tips, resume writing, interview preparation, and more.
Model Training:
The model is trained using deep learning algorithms that analyze and understand patterns in the text data. It learns to recognize context, semantics, and user intent.
Fine-Tuning:
ChatGPT undergoes continuous fine-tuning based on user interactions and feedback. This helps improve its accuracy and relevance in offering personalized career guidance.
Contextual Understanding:
By analyzing user queries in real-time, ChatGPT can provide tailored responses based on the context of the conversation. It leverages its training data to offer relevant advice and recommendations.
