Data Scarcity

Few-Shot Learning allows startups to implement AI models using very limited training data, solving the cold-start problem and enabling faster product iterations without massive datasets.

The cold start problem is a data challenge where systems cannot make accurate predictions or recommendations because they lack sufficient information about new users or items.