Stas Bekman

stas

https://stasosphere.com/machine-learning/

AI & ML interests

Toolmaker. Software creator, optimizer and harmonizer. Makes things work and fly at Contextual.AI Training LLM/RAG/Generative AI/Machine Learning/Scalability

Recent Activity

updated a model about 1 month ago

stas/ml-engineering-book

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Articles

From DeepSpeed to FSDP and Back Again with Hugging Face Accelerate

Jun 13

• 44

Introducing IDEFICS: An Open Reproduction of State-of-the-art Visual Language Model

Aug 22, 2023

• 28

Organizations

Posts 6

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1088

The Universal Checkpointing paper is out! https://arxiv.org/abs/2406.18820

If you remember the Bigscience BLOOM-176B training, Tunji Ruwase and I co-invented this technology for Megatron-Deepspeed in order to enable to quickly scale up and down node topology while continuing training.

Since then the DeepSpeed team continued improving on that and it has now been fully integrated into Deepspeed.

The blog post is here: https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-ucp/README.md

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A combined effort from the IBM + Pytorch teams achieved an incredible training performance with ZeRO/FSDP on par with 3D parallelism on H100s, while having just 800Gbps inter-node connection.

This is because they got an almost full overlap between comms and compute and have introduced a novel selective activation recomputation method which recalculates only large but inexpensive activations.

Check out their post here: https://pytorch.org/blog/maximizing-training/

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