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DeepMind’s Selection-Inference Language Model System Generates Humanly Interpretable Reasoning Traces
Sept. 6, 2022, 7:06 p.m. | Synced
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In the new paper Faithful Reasoning Using Large Language Models, a DeepMind research team proposes a forward-chaining selection-inference model that performs faithful reasoning and provides a valid reasoning trace to improve reasoning quality and help users validate the model’s final answers.
The post DeepMind’s Selection-Inference Language Model System Generates Humanly Interpretable Reasoning Traces first appeared on Synced.
ai artificial intelligence deepmind deep-neural-networks inference language language model machine learning machine learning & data science ml nature language tech reasoning research technology traces
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