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

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: https://platform.openai.com/docs/guides/fine-tuning Data used in video: http://ai.stanford.edu/~amaas/data/sentiment/?ref=hackernoon.com openai R package documentation: https://irudnyts.github.io/openai/ OpenAI's fine tune example notebook: https://github.com/openai/openai-cookbook/blob/main/examples/Fine-tuned_classification.ipynb Want to connect? Twitter: https://twitter.com/melvanbussel LinkedIn: https://www.linkedin.com/in/melissavanbussel/ Website: https://www.melissavanbussel.com/ GitHub: https://github.com/melissavanbussel *Please note: it’s helpful for me if you send me a message on LinkedIn when you add me letting me know you’re adding me because of YouTube, so that I can keep track of how I know each person in my network😊