@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. šļø Read the full post for details: https://t.co/sSHMGhRixV #DeepSpeed #PyTorch #MemoryEfficiency #MultimodalTraining #OpenSourceAI