A GPT can then be fine-tuned, which means that it can be trained on a smaller amount of text data related to a specific task or domain. For example, ChatGPT can be fine-tuned on a dataset of customer service conversations, to make it better at answering questions and solving problems.
A GPT can then be fine-tuned, which means that it can be trained on a smaller amount of text data related to a specific task or domain. For example, ChatGPT can be fine-tuned on a dataset of customer service conversations, to make it better at answering questions and solving problems.