Facebook announced a new AI technology that can rapidly identify harmful content in order to make Facebook safer. Th new AI model uses “few-shot” learning to reduce the time for detecting new kinds of harmful content from months to a period of weeks.
Few-Shot Learning
Few-shot learning has similarities to Zero-shot learning. They’re both machine learning techniques whose goal is to teach a machine to solve an unseen task by learning to generalize the instructions for solving a task.
Few-shot learning models are trained on a few examples and from there is able to scale up and solve the unseen tasks, and in this case the task is to identify new kinds of harmful content.
The advantage of Facebook’s new AI model is to speed up the process of taking action against new kinds of harmful content.
The Facebook announcement stated:
“Harmful content continues to evolve rapidly — whether fueled by current events or by people looking for new ways to evade our systems — and it’s crucial for AI systems to evolve alongside it.
But it typically takes several months to collect and label thousands, if not millions, of examples necessary to train each individual AI system to spot a new type of content.
…This new AI system uses a method called “few-shot learning,” in which models start with a general understanding of many different topics and then use much fewer — or sometimes zero — labeled examples to learn new tasks.”
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