In this video tutorial, we'll discuss how use GPT 3.5 fine tuning for brand tone of voice. Specifically, we'll look at how to create a training dataset and walk through the step by step process of fine tuning.
As OpenAI highlights, creating a custom tone of voice is a perfect use case for fine tuning:
Fine-tuning is a great way to hone the qualitative feel of the model output, such as its tone, so it better fits the voice of businesses’ brands. A business with a recognizable brand voice can use fine-tuning for the model to be more consistent with their tone.
This is the video companion to this article and includes a prompt template for creating a brand tone of voice training dataset, as well as a Colab notebook with the code to fine tune GPT 3.5.