Zero-Shot Learning

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.

Zero-shot learning allows AI models to complete tasks they were never specifically trained for by using general knowledge. This enables startups to build products without massive initial datasets.