Meta AI Introduces A New AI Technology Called 'Few-Shot Learner (FSL)' To Tackle Harmful Content

For the training of AI models, a massive number of labeled data points or examples are required. Typically, the number of samples needed is tens of thousands to millions. Collection and labeling of these data can take several months. This manual collection and labeling delay the deployment of AI systems that can detect new types of harmful content over different social media platforms. To handle this issue, Meta has deployed a relatively new AI model called "Few-Shot Learner" (FSL) such that harmful contents can be detected even if enough labeled data is not available.