Scientists Are Teaching AI to Learn With Less Data
Training traditional AI models usually requires mountains of data—millions of images, thousands of hours of speech, or entire libraries of text. But researchers are now pushing toward a different idea: teaching AI to learn from very small examples. This technique is called few-shot learning. Instead of feeding AI enormous datasets, the model learns to generalize from just a handful of examples.…












