Language Models Point the Way to More Efficient Chips, Smarter Robots, and Broadened Access
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Leveraging language models to help design computer chips more efficiently by providing reasoning and a knowledge base.
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Creating a system to convert natural language instructions for robots into formal logic that machines can understand, allowing smoother human-computer communication.
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Breaking down instructions into sub-tasks helps identify logical dependencies and allows flexibility in how instructions are phrased.
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Developing speech models for low-resource languages with limited transcribed speech data by inferring patterns in sound sequences.
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Language technology has many applications like voice assistants, translation tools, and allowing interaction in native languages.