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How to create a custom classification model in R using the openai package (fine-tune tutorial) 

Melissa Van Bussel (ggnot2)
Подписаться 4,2 тыс.
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In this video, we create a custom classification model in R using the OpenAI API. This is done by "fine tuning" one of OpenAI's existing language models in the GPT family of models, by training it on our own data!
If this video was helpful for you, please be sure to subscribe to my channel (and share with your friends!) so that I can keep making videos.😊
The code from this video is available here:
OpenAI fine tune documentation: platform.opena...
Data used in video: ai.stanford.edu...
openai R package documentation: irudnyts.githu...
OpenAI's fine tune example notebook: github.com/ope...
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Twitter: / melvanbussel
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Website: www.melissavan...
GitHub: github.com/mel...
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12 сен 2024

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Комментарии : 6   
Год назад
Great content, very useful tutorial!
@ggnot2
@ggnot2 Год назад
Thank you, glad it was useful!
@abdessamaddali-ali6580
@abdessamaddali-ali6580 Год назад
it's fantastic
@ggnot2
@ggnot2 Год назад
Thanks!
@christianforsberg7182
@christianforsberg7182 4 месяца назад
Found your channel when searching for help with getting started with "openai"-pkg. I've set up the API-key and added $5 to my account, but I can't seem to get any model working. Do you have an beginners video just using an exsistent model and get anything to work? My goal is to sent a short dataframe to the model and for it to analyze it - tell me which serie(s) which has the largest increase and such things.
@Aaqib..
@Aaqib.. Год назад
🎉🎉 thanks a lot
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