ChatGPT is a large language model developed by OpenAI.

It uses a type of neural network architecture called a Transformer to generate text based on the input it receives.

When a user inputs a prompt or a question, ChatGPT processes the text and generates a response based on the patterns and relationships it has learned from the large amounts of text data it was trained on.

The model uses the attention mechanism technique to focus on the input’s relevant parts and generate a contextually appropriate response.

ChatGPT can be fine-tuned for specific use cases, such as customer service, by training the model on a large dataset of conversational data relevant to that use case.

This allows ChatGPT to generate more relevant responses to the specific domain and improve its overall performance.

Overall, ChatGPT works by processing text inputs, generating a response based on the patterns it has learned, and fine-tuning its responses for specific use cases to improve its accuracy.