KR20250029051A - 특수 전문가 혼합 머신 러닝 모델의 계층을 분배하기 위한 시스템 및 방법 - Google Patents

특수 전문가 혼합 머신 러닝 모델의 계층을 분배하기 위한 시스템 및 방법 Download PDF

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KR20250029051A
KR20250029051A KR1020247042066A KR20247042066A KR20250029051A KR 20250029051 A KR20250029051 A KR 20250029051A KR 1020247042066 A KR1020247042066 A KR 1020247042066A KR 20247042066 A KR20247042066 A KR 20247042066A KR 20250029051 A KR20250029051 A KR 20250029051A
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accelerators
layers
sparse
experts
machine learning
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데방쿠마르 라메쉬바이 파텔
웨이 주오
유안 유
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마이크로소프트 테크놀로지 라이센싱, 엘엘씨
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    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
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    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
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KR1020247042066A 2022-06-24 2023-05-16 특수 전문가 혼합 머신 러닝 모델의 계층을 분배하기 위한 시스템 및 방법 Pending KR20250029051A (ko)

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US17/848,679 US12579470B2 (en) 2022-06-24 2022-06-24 Systems and methods for distributing layers of special mixture-of-experts machine learning models
US17/848,679 2022-06-24
PCT/US2023/022447 WO2023249754A1 (en) 2022-06-24 2023-05-16 Systems and methods for distributing layers of special mixture-of-experts machine learning models

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KR20250029051A true KR20250029051A (ko) 2025-03-04

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US (2) US12579470B2 (enExample)
EP (1) EP4544451A1 (enExample)
JP (1) JP2025522299A (enExample)
KR (1) KR20250029051A (enExample)
CN (1) CN119452368A (enExample)
WO (1) WO2023249754A1 (enExample)

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US20250258725A1 (en) * 2024-02-13 2025-08-14 Hewlett Packard Enterprise Development Lp Control path communication between non-host processing devices
CN117972293B (zh) * 2024-03-28 2024-06-07 北京思凌科半导体技术有限公司 基于混合专家模型的计算方法、装置、设备及存储介质

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WO2018085643A1 (en) * 2016-11-04 2018-05-11 Google Llc Mixture of experts neural networks
US10509846B2 (en) * 2017-12-13 2019-12-17 Intel Corporation Accelerator for processing data
US11893502B2 (en) 2017-12-20 2024-02-06 Advanced Micro Devices, Inc. Dynamic hardware selection for experts in mixture-of-experts model
WO2020023483A1 (en) * 2018-07-23 2020-01-30 Google Llc Continuous parametrizations of neural network layer weights
US11003823B2 (en) 2018-08-09 2021-05-11 Palo Alto Research Center Incorporated Re-design of analog circuits
US20200117978A1 (en) 2018-10-12 2020-04-16 Alibaba Group Holding Limited Systems and methods for efficiently mapping neural networks to programmable logic devices
WO2020099583A1 (en) 2018-11-18 2020-05-22 Innatera Nanosystems B.V. Spiking neural network
US12124941B2 (en) 2020-03-27 2024-10-22 Intel Corporation Methods and apparatus for dynamic batching of data for neural network workloads
US11586894B2 (en) 2020-05-04 2023-02-21 SiMa Technologies, Inc. Ordering computations of a machine learning network in a machine learning accelerator for efficient memory usage
US12530571B2 (en) 2020-07-08 2026-01-20 Nvidia Corporation Image generation using one or more neural networks
US20220036186A1 (en) * 2020-07-30 2022-02-03 Waymo Llc Accelerated deep reinforcement learning of agent control policies
US20220059200A1 (en) 2020-08-21 2022-02-24 Washington University Deep-learning systems and methods for medical report generation and anomaly detection
US12518135B2 (en) * 2021-02-05 2026-01-06 Google Llc Sparse and differentiable mixture of experts neural networks
US20230281510A1 (en) * 2022-03-07 2023-09-07 Qualcomm Incorporated Machine learning model architecture combining mixture of experts and model ensembling

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CN119452368A (zh) 2025-02-14
US12579470B2 (en) 2026-03-17
WO2023249754A1 (en) 2023-12-28
US20230419166A1 (en) 2023-12-28
EP4544451A1 (en) 2025-04-30
US20260178987A1 (en) 2026-06-25

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