Pre-training foundation models on Amazon SageMaker | Step 2: Train model | Amazon Web Services

Опубликовано 24 июля 2024, 15:33

Amazon SageMaker helps you reduce the time and cost of training foundation models (FMs) at scale without managing infrastructure. This video series will provide step-by-step guidance on training FMs from scratch on SageMaker.
After you prepare the dataset, you can start training the model! SageMaker provides a cost-effective way to train FMs faster on large accelerated compute clusters, including GPUs and Trainium. In this video, you will learn how to use SageMaker notebooks to write the training code, easily change instance types, and run training jobs to iteratively improve the code using warm pools, debugging and profiling, and experiment management.

Follow along with this sample:
github.com/aws-samples/sagemak...

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