@Nitin
Absolutely, fine-tuning models can be a great way to tailor them to your specific needs and improve performance on your particular tasks. However, the ability to fine-tune a model depends on the access you have to the model's parameters and training data, as well as the necessary computational resources.
If you're referring to fine-tuning VAPI's underlying model, you would need the appropriate permissions and tools provided by the platform. If VAPI supports model fine-tuning, you would typically need to follow the platform's guidelines for doing so.
If you need detailed instructions or assistance with fine-tuning the model on VAPI, or if you're unsure whether you have the capability to do so, please ask support for more info on this. They can provide you with the specific steps and requirements for fine-tuning the model within the VAPI platform.