Curated Resource ( ? )

Customizing GPT-3 for Your Application

Customizing GPT-3 for Your Application

my notes ( ? )

"fine-tune GPT-3 on their own data, creating a custom version tailored to their application" improving reliability for more use cases and making the model cheaper and faster. Any dataset of any shape or size, plus "incrementally add data based on user feedback... less than 100 examples to start seeing the benefits ... doubling the number of examples tends to improve quality linearly.

Read the Full Post

The above notes were curated from the full post openai.com/blog/customized-gpt-3/?utm_source=pocket_reader.

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