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Yonatan Geifman, Co-Founder & CEO at Deci, joins host Jake Smith to talk about how Deci’s AutoNAC (Automated Neural Architecture Construction) engine enables developers to redesign their deep learning models to significantly improve latency performance while preserving the model's accuracy. Yonatan further explained that improving latency and accuracy would allow developers to shorten the development cycle and deploy the optimized model to production environments faster. Yonatan shared with Jake the close and deep partnership Deci has developed with Intel in engineering collaboration and ecosystem programs. When asked about his thought on the future of AI, Yonatan said while it would take more time for AI to be everywhere, AI is being democratized by startups, large companies, and open-source communities, so more and more people will be able to build AI applications in the future.
For more information, visit: https://deci.ai/
Follow Jake on Twitter at: https://twitter.com/jakesmithintel
For more information, visit: https://deci.ai/
Follow Jake on Twitter at: https://twitter.com/jakesmithintel
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면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 Intel Corporation에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
