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DataFunTalk
DataFunTalk
Jun 14, 2024 · Artificial Intelligence

Midjourney’s Diverse Data Sources: Public Datasets, Academic Research, Partner and Proprietary Data

Midjourney enhances its AI models by integrating a wide range of data sources—including public datasets like ImageNet and COCO, academic research from top conferences, partner collaborations, and its own proprietary data—while continuously updating and managing these datasets for quality, privacy, and security.

AI trainingBright DataCOCO
0 likes · 9 min read
Midjourney’s Diverse Data Sources: Public Datasets, Academic Research, Partner and Proprietary Data
DataFunSummit
DataFunSummit
Jun 13, 2024 · Artificial Intelligence

Midjourney’s Data Sources: Public Datasets, Academic Research, Partner Data, and Proprietary Data

Midjourney leverages a wide range of data sources—including public datasets like ImageNet and COCO, academic research from top conferences and journals, partner collaborations, and its own proprietary data—augmented by real‑time feeds from Bright Data, to continuously improve and expand its AI models.

AIBright DataCOCO
0 likes · 13 min read
Midjourney’s Data Sources: Public Datasets, Academic Research, Partner Data, and Proprietary Data
Tencent Tech
Tencent Tech
Aug 26, 2020 · Artificial Intelligence

How Tencent Engineers Shattered the 128‑GPU ImageNet Training Record in 2m31s

Tencent engineers broke the world record for training ImageNet with 128 V100 GPUs in just 2 minutes 31 seconds, detailing a suite of optimizations—including a new Light distributed training framework, single‑machine speed boosts, multi‑machine communication enhancements, and advanced batch convergence techniques—that together dramatically cut training time while maintaining high accuracy.

GPUImageNetTencent Cloud
0 likes · 9 min read
How Tencent Engineers Shattered the 128‑GPU ImageNet Training Record in 2m31s
Tencent Architect
Tencent Architect
Jul 30, 2018 · Artificial Intelligence

Four‑Minute ImageNet Training: Tencent’s AI Platform Sets a New World Record

Tencent’s intelligent machine‑learning platform achieved a world‑record by training AlexNet in 4 minutes and ResNet‑50 in 6.6 minutes on ImageNet, using large batch sizes, mixed‑precision, LARS optimization, hierarchical synchronization, gradient fusion, and pipeline I/O techniques to overcome accuracy and scalability challenges.

AI accelerationImageNetLarge Batch Training
0 likes · 24 min read
Four‑Minute ImageNet Training: Tencent’s AI Platform Sets a New World Record