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Open source solution replicates ChatGPT training process! Ready to go with only 1.6GB GPU memory and gives you 7.73 times faster training!

Colossal-AI, as one of the hottest open-source solutions for large AI models, presents an open-source low-cost ChatGPT equivalent implementation process first. ....

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How to Train Really Large Models on Many GPUs?

[Updated on 2022-03-13: add expert choice routing.] [Updated on 2022-06-10]: Greg and I wrote a shorted and upgraded version of this post, published on OpenAI Blog: “Techniques for Training Large Neural Networks”
In recent years, we are seeing better results on many NLP benchmark tasks with larger pre-trained language models. How to train large and deep neural networks is challenging, as it demands a large amount of GPU memory and a long horizon of training time. ....

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How to Train Really Large Models on Many GPUs?

How to Train Really Large Models on Many GPUs?
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DeepSpeed ZeRO-3 Offload

DeepSpeed ZeRO-3 Offload
Today we are announcing the release of ZeRO-3 Offload, a highly efficient and easy to use implementation of ZeRO Stage 3 and ZeRO Offload combined, geared towards our continued goal of democratizing AI by making efficient large-scale DL training available to everyone. The key benefits of ZeRO-3 Offload are:
Unprecedented memory efficiency to run very large models on a limited number of GPU resources - e.g., fine-tune models with over 40B parameters on a single GPU and over 2 Trillion parameters on 512 GPUs!
Extremely Easy to use:
Scale to over a trillion parameters without the need to combine multiple parallelism techniques in complicated ways. ....

Deepspeed Team , Deepspeed Config , Zero Redundancy Optimizer , Superlinear Scalability ,

Research at Microsoft 2020: Addressing the present while looking to the future

Research at Microsoft 2020: Addressing the present while looking to the future
Published
Microsoft researchers pursue the big questions about what the world will be like in the future and the role technology will play. Not only do they take on the responsibility of exploring the long-term vision of their research, but they must also be ready to react to the immediate needs of the present. This year in particular, they were asked to use their roles as futurists to address pressing societal challenges.
In early 2020, as countries began responding to COVID-19 with stay-at-home orders and business operations moved from offices into homes, researchers sprang into action to identify ways their skills and projects could help while also making personal and professional adjustments of their own. In some cases, they pivoted to directly address the pandemic. A team from Microsoft Research Asia developed the COVID Insights website to promote scientific analysis and understandi ....

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