How to train GPT-3 with your own dataset | Heiko Hotz | DSC Europe 2022

GPT-3 has taken the world by storm, and for good reason: It lets you generate text with just a few prompts (i.e. 'few-shot learning') or even with no prompts and just the instruction (i.e. 'zero-shot learning'). But there are scenarios where the model does not deliver satisfying results out of the box. In these cases we need to train the GPT-3 model with our own dataset to improve the performance. In this talk he explored how this can be done and we saw a real-life application of this.
This speech by Heiko Hotz was held on November 18 at Data Science Conference Europe 2022 in person in Belgrade.
Follow us on social media :
LinkedIn: Data Science Conference
/ 11184830
Instagram: @datasciconf
/ datasciconf
Facebook page: @DataSciConference
/ datasciconference
Website: datasciconference.com/
Change the World Through Data
#datascience #ai #ml #artificialintelligence #bigdata #dataanalytics #gpt3