3 Questions
What is the cost of training the fine-tuned GPT-3 model on a custom dataset?
The cost of training the model is approximately $8.
What is the name of the base GPT-3 model used for fine-tuning in the described process?
The fine-tuned model is created using the base model DaVinci.
Can parameters other than the maximum number of tokens be adjusted when testing the fine-tuned GPT-3 model?
Yes, other parameters such as temperature can be adjusted for more creative or strict results.
Study Notes
- 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
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