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Deploying Transformers on the Apple Neural Engine : comparemela.com
Deploying Transformers on the Apple Neural Engine
An increasing number of the machine learning (ML) models we build at Apple each year are either partly or fully adopting the [Transformer…
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Illia Polosukhin
,
Kristina Toutanova
,
Noam Shazeer
,
Lukasz Kaiser
,
Francesco Rossi
,
Atila Orhon
,
Youchang Kim
,
Jakob Uszkoreit
,
Niki Parmar
,
Ming Wei Chang
,
Aidann Gomez
,
Vignesh Jagadeesh
,
Aseem Wadhwa
,
Kenton Lee
,
Research To Production
,
Research Papers
,
Party Libraries To Core
,
Apple Neural Engine
,
Hugging Face
,
Neural Engine
,
Metal Performance Shaders
,
Behind Optimizing Transformers
,
Bright Data
,
Chunking Large Intermediate
,
Minimizing Memory
,
From Pytorch
,
Machine Learning
,
Neural Engine Transformers
,
Accelerated Pytorch Training
,
Device Panoptic Segmentation
,
Camera Using Transformers
,
Learning Research
,
Iphone User
,
Convert Models
,
Third Party Libraries
,
Deep Bidirectional Transformers
,
Language Understanding
,
Language Models
,
Their Implications
,
Hugging Face Transformers
,
Llion Jones
,
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