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@PyTorch

New @DeepSpeedAI updates make large-scale multimodal training simpler and more memory-efficient. Our latest blog introduces a PyTorch-identical backward API that helps code multimodal training loops easy, plus low-precision model states (BF16/FP16) that can reduce peak memory by up to 40% when combined with torch.autocast. šŸ–‡ļø Read the full post for details: https://t.co/sSHMGhRixV #DeepSpeed #PyTorch #MemoryEfficiency #MultimodalTraining #OpenSourceAI

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