lightning/docs/source-pytorch/levels/intermediate.rst

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Intermediate skills
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Learn to scale up your models and enable collaborative model development at academic or industry research labs.
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:header: Level 7: Interactive cloud development
:description: Learn how to access GPUs and TPUs on the cloud.
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:header: Level 8: Modularize your projects
:description: Create DataModules to enable dataset reusability.
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:header: Level 9: Understand your model
:description: Use advanced visuals to find the best performing model.
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:header: Level 10: Explore SOTA scaling techniques
:description: Explore SOTA techniques to help convergence, stability and scalability.
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:header: Level 11: Deploy your models
:description: Learn how to deploy your models with optimizations like ONNX and torchscript.
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:header: Level 12: Optimize training speed
:description: Use compilers, advanced profilers and mixed precision to train bigger models, faster.
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:header: Level 13: Run on a multi-node cluster
:description: Learn to run on multi-node in the cloud or on your cluster
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