ZeRO-Infinity and DeepSpeed: Unlocking unprecedented model scale for deep learning training Published April 19, 2021 By DeepSpeed Team Rangan Majumder , Vice President Andrey Proskurin , Corporate Vice President of Engineering Since the DeepSpeed optimization library was introduced last year, it has rolled out numerous novel optimizations for training large AI models—improving scale, speed, cost,
企業のデジタル トランスフォーメーション(DX)はこれまでにないスピードで加速しており、データ・ AI 活用は実践フェーズへと突入。マイクロソフトが提供する Data & AI サービスは、インフラ構築からデータマネジメント、データ分析・AI 活用までをクラウドで実現。企業の意思決定の判断材料を増やし、これまでにない新たな企業価値を創造することが可能です。データに無制限のスケール、無制限のパフォーマンスを提供する Azure で、無制限の可能性を目指しましょう。 データベース、分析、データ ガバナンスを包括的かつシームレスに 提供する“Microsoft Intelligent Data Platform”
Three mysteries in deep learning: Ensemble, knowledge distillation, and self-distillation Published January 19, 2021 By Zeyuan Allen-Zhu , Senior Researcher Yuanzhi Li , Assistant Professor, Carnegie Mellon University Under now-standard techniques, such as over-parameterization, batch-normalization, and adding residual links, “modern age” neural network training—at least for image classification t
“Now is the time for urgent action. Those of us that can do more, should do more. But the challenges we face are complex, and no one company, sector, or country can solve them alone.” -Brad Smith, Vice Chair & President of Microsoft The Prompt with Trevor Noah Join Trevor Noah, Microsoft’s Chief Questions Officer, in a thought-provoking series that delves into the world of Artificial Intelligence
Microsoft Research Forum Episode 3: Globally inclusive and equitable AI, new use cases for AI, and more In the latest episode of Microsoft Research Forum, researchers explored the importance of globally inclusive and equitable AI, shared updates on AutoGen and MatterGen, presented novel use cases for AI, including industrial applications and the potential of multimodal models to improve assistive
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