Fine-Tune Your Knowledge on GPT-3

• The text describes the process of fine-tuning GPT-3 on a custom dataset.
• The first step is to install the GPT-3 CLI.
• The API key needs to be set up by creating a new key or using an existing one.
• The training data needs to be in a specific format with a prompt and completion.
• A tool is available to prepare the data in the right format.
• The author used a dataset of Radiohead lyrics to generate new songs.
• The fine-tuned model is created using the base model DaVinci.
• The cost of training the model is approximately $8.
• The model can be tested using a prompt and adjusting the maximum number of tokens.
• Other parameters, such as temperature, can be adjusted for more creative or strict results.

Test your knowledge on fine-tuning GPT-3 with this quiz! Learn about the process of setting up the GPT-3 CLI and API key, formatting training data, and creating a customized model. Discover how the author used Radiohead lyrics to generate new songs and explore the cost and testing parameters of the fine-tuned model. Put your skills to the test and see if you're an expert in fine-tuning GPT-3! Keywords: GPT-3, CLI, API