A new AI technique endows neural networks with more human-like language generalization ability—a milestone achievement in pursuing artificial general intelligence.
For example, humans apply "balance" to different contexts: "balance on a tightrope" and "balance the budget." machine learning in its ability to grasp new combinations and apply them towards comprehending related uses of known components. Scientists are working to bridge that gap.
It’s a long-held belief that artificial neural networks do not possess the human brain’s ability to comprehend and create new combinations from known components. For example, once the human brain grasps the concept of the word “balance,” it can flexibly and intelligently apply it in other combinations such as “balance on a tightrope,” “balance the budget,” or “work-life balance.” In contrast, AI is not as flexible as the human brain regarding generalization.
The researchers optimize the standard neural network architecture for its compositional skills. The learning process consists of a neural network continuously improving its skill over a series of episodes where the AI model is given a new word and asked to apply it compositionally.
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