Data labeling is a complex and tedious task, and it’s no surprise that most ML engineers are always on the hunt to make it as efficient as possible. New strategies regularly appear in the market (data augmentation, model-in-the-loop annotation, etc) to tackle the time and cost spent on creating training datasets.

ChatGPT’s latest release is no exception: it puts forward the value that AI can help in building AI, especially at the data labeling stage of AI. 

In this webinar, you’ll learn how to leverage ChatGPT to reduce in half the time you spend on your data labeling. We’ll dive into:

• The current functioning of ChatGPT and the Large Language model;
• How to leverage Large Language to boost your labeling capabilities;
• The limitations of ChatGPT.

To participate, register by filling out the form. See you soon!