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

Related reading

More Stuff I Like

More Stuff tagged ai , training , gpt-x

See also: Digital Transformation , Innovation Strategy , Science&Technology , Business

Cookies disclaimer saves very few cookies onto your device: we need some to monitor site traffic using Google Analytics, while another protects you from a cross-site request forgeries. Nevertheless, you can disable the usage of cookies by changing the settings of your browser. By browsing our website without changing the browser settings, you grant us permission to store that information on your device. More details in our Privacy Policy.