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Retrieved on: 2025-04-10 18:02:50
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Summary
The article discusses Activation Transport (AcT), a technique providing fine-grained control over generative model outputs, enhancing reliability and safety without significant computational costs. It ties with 'perplexity', a metric evaluated during Linear-AcT testing, reflecting alignment with desired outputs. Relevant tags include deep learning, generative AI, and fine-tuning.
Article found on: machinelearning.apple.com
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