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ACM and IMS Release First Issues of Journal of Data Science - High-Performance Computing News Analysis

New York, March 27, 2024 – ACM, the Association for Computing Machinery, and IMS, the Institute of Mathematical Statistics, have announced the publication [.]

New-york
United-states
San-diego
California
Sanjay-krishnan
Renata-borovica-gajic
Alkis-polyzotis
Mert-pilanci
Iavor-bojinov
Zhuoran-yang
Ihabf-ilyas
Jonas-peters

AI Research Blog - The Transformer Blueprint: A Holistic Guide to the Transformer Neural Network Architecture

A deep dive into Transformer a neural network architecture that was introduced in the famous paper “attention is all you need” in 2017, its applications, impacts, challenges and future directions

Jordan
United-states
Kalyan
Maharashtra
India
Dominican-republic
Sydney
New-south-wales
Australia
American
Basil-mustafa
Hesslow-daniel

There's a faster, cheaper way to train large language models

There's a faster, cheaper way to train large language models
scienceblog.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from scienceblog.com Daily Mail and Mail on Sunday newspapers.

Percy-liang
Tengyu-ma
Zhiyuan-li
David-hall
Chong-liu
Stanford-university
Computer-science-assistant-professor
Associate-professor

Team develops a faster, cheaper way to train large language models

Team develops a faster, cheaper way to train large language models
techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.

Percy-liang
David-hall
Chong-liu
Zhiyuan-li
Tengyu-ma
Stanford-university
Associate-professor-percy-liang
Scalable-stochastic-second-order-optimizer
Language-model-pre-training

A New Approach Trains Large Language Models in Half the Time

A Stanford team has developed Sophia, a new way to optimize the pretraining of large language models that’s twice as fast as current approaches.

Chong-liu
Zhiyuan-li
Percy-liang
Tengyu-ma
David-hall
Stanford-university
Associate-professor-percy-liang

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