CustomGPT utilizes ChatGPT for transfer learning in two primary ways:
- Foundation Model: ChatGPT serves as the foundation for CustomGPT models. This means that the underlying architecture and knowledge base of ChatGPT are used as a starting point for training CustomGPT models.
- Fine-Tuning: CustomGPT models are further trained on specific datasets relevant to their intended use cases. This process, known as fine-tuning, allows the models to learn and adapt to the unique characteristics of the target domain.
By combining ChatGPT's general-purpose capabilities with fine-tuning on specific datasets, CustomGPT can create highly specialized AI models that are tailored to perform well in various applications.
