Optimizing Model Performance with Deci - CitC Episode 286

Intel CitC

Intel Corporation에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Intel Corporation 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2y ago 13:14

MP3•에피소드 홈

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

296 에피소드