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08/02/2023
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales
ChatGPT-like models have revolutionized various applications in artifici...
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03/15/2023
MCR-DL: Mix-and-Match Communication Runtime for Deep Learning
In recent years, the training requirements of many state-of-the-art Deep...
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03/11/2023
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training
Mixture-of-Experts (MoE) is a neural network architecture that adds spar...
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06/30/2022
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
The past several years have witnessed the success of transformer-based m...
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01/14/2022
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
As the training of giant dense models hits the boundary on the availabil...
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09/22/2021
Scalable and Efficient MoE Training for Multitask Multilingual Models
The Mixture of Experts (MoE) models are an emerging class of sparsely ac...
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04/13/2021
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB's Convergence Speed
To train large models (like BERT and GPT-3) with hundreds or even thousa...
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02/04/2021
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Scalable training of large models (like BERT and GPT-3) requires careful...
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11/12/2019
HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training using TensorFlow
The enormous amount of data and computation required to train DNNs have ...
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10/25/2018
