You Don’t Need Many Labels to Learn

# You Don't Need Thousands of Examples to Train AI Anymore Researchers have found a way to create powerful AI systems that recognize patterns using just a small number of labeled examples—a breakthrough that could make AI development faster and cheaper. Instead of requiring teams to manually label thousands of images or documents, companies can now train effective AI with minimal labeled data, which saves both time and money. This matters because data labeling is often one of the most expensive and tedious parts of building AI systems.