Few-shot learning is a powerful technique that allows machine learning models to quickly adapt to new and previously unseen data with only a few examples. This means that you can now label your large datasets with greater speed and accuracy than ever before, thanks to the power of the new UBIAI Few-Shot Automated Labeling Feature and OpenAI’s GPT model.

In our step-by-step tutorial video, we’ll show you exactly how to use this cutting-edge feature to label your own datasets quickly and easily. You’ll see firsthand how Few-Shot Automated Labeling with GPT can save you time and effort while improving the quality of your labeled data.