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<img alt="derwen.ai" width="400px" src="https://derwen.ai/static/design/derwen_logo.png" />
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For AI apps, what’s the gap between
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Currently in machine learning, only a small percentage of research papers can be verified by independent review of their code. Many published results cannot be reproduced.
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Meanwhile in enterprise organizations, options are limited. Your data is too sensistive to use with SaaS vendors. Paying a system integrator to build internal tools is iffy: given how fast technology is evolving, whatever you spec will likely become outdated before you can use it much.
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<img alt="derwen.ai" width="400px" src="https://derwen.ai/static/design/derwen_logo.png" />
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For AI apps, what’s the gap between research claims in the latest papers -- and having independently verified code other people can use in production?
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Currently in machine learning, only a small percentage of research papers can be verified by independent review of their code. Many published results cannot be reproduced.
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Meanwhile in enterprise organizations, options are limited. Your data is too sensistive to use with SaaS vendors. Paying a system integrator to build internal tools is iffy: given how fast technology is evolving, whatever you spec will likely become outdated before you can use it much.
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