Preparing Your Dataset for Fine-Tuning
Explore how to prepare datasets for fine-tuning OpenAI models by acquiring relevant data, cleaning and formatting it, managing token limits, and splitting into training, validation, and test sets to optimize model performance.
Once we are ready to fine-tune using the OpenAI API, we'll need to acquire and prepare the data we will use for the fine-tuning.
Acquiring our dataset
Before we start fine-tuning a model with the OpenAI API, it's important to get a suitable dataset and have a good understanding of it. The dataset we choose should align well with the goals of our project. For instance, if we aim to fine-tune a model to generate medical text, a dataset filled with medical journals or articles would be needed. The right dataset forms the ...