Fine-tuning ChatGPT and dataset preparation
In this section, you will learn about the process of fine-tuning ChatGPT models. We will talk about the ChatGPT models available for fine-tuning and provide information on their training and usage costs. We will also cover the installation of the openai library and set up the API key as an environmental variable in the terminal session. This section will serve as an overview of fine-tuning, its benefits, and the necessary setup to train a fine-tuned model.
Fine-tuning enhances the capabilities of API models in several ways. Firstly, it yields higher quality outcomes compared to designing prompts alone. By incorporating more training examples than can be accommodated in a prompt, fine-tuning enables models to grasp a wider range of patterns and nuances. Secondly, it reduces token usage by utilizing shorter prompts, resulting in more efficient processing. Additionally, fine-tuning facilitates lower latency requests, enabling faster and more...
