diff --git a/README.md b/README.md index 555fc6cc2e903..7653e5d6a9b79 100644 --- a/README.md +++ b/README.md @@ -66,7 +66,7 @@ Over 340,000 developers use [Lightning Cloud](https://lightning.ai/?utm_source=p # Why PyTorch Lightning? -Training models in plain PyTorch is tedious and error-prone - you have to manually handle things like backprop, mixed precision, multi-GPU, and distributed training, often rewriting code for every new project. PyTorch Lightning organizes PyTorch code to automate those complexities so you can focus on your model and data, while keeping full control and scaling from CPU to multi-node without changing your core code. But if you want control of those things, you can still opt into [expert-level control](#lightning-fabric-expert-contro). +Training models in plain PyTorch is tedious and error-prone - you have to manually handle things like backprop, mixed precision, multi-GPU, and distributed training, often rewriting code for every new project. PyTorch Lightning organizes PyTorch code to automate those complexities so you can focus on your model and data, while keeping full control and scaling from CPU to multi-node without changing your core code. But if you want control of those things, you can still opt into [expert-level control](#lightning-fabric-expert-control). Fun analogy: If PyTorch is Javascript, PyTorch Lightning is ReactJS or NextJS. @@ -215,7 +215,7 @@ Explore various types of training possible with PyTorch Lightning. Pretrain and | Task | Description | Run | |------|--------------|-----| -| [Hello world](#hello-simple-model) | Pretrain - Hello world example | Open In Studio | +| [Hello world](https://lightning.ai/lightning-ai/studios/pytorch-lightning-hello-world?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme) | Pretrain - Hello world example | Open In Studio | | [Image classification](https://lightning.ai/lightning-ai/studios/image-classification-with-pytorch-lightning?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme) | Finetune - ResNet-34 model to classify images of cars | Open In Studio | | [Image segmentation](https://lightning.ai/lightning-ai/studios/image-segmentation-with-pytorch-lightning?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme) | Finetune - ResNet-50 model to segment images | Open In Studio | | [Object detection](https://lightning.ai/lightning-ai/studios/object-detection-with-pytorch-lightning?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme) | Finetune - Faster R-CNN model to detect objects | Open In Studio | diff --git a/src/pytorch_lightning/README.md b/src/pytorch_lightning/README.md index c0699e7695496..86176359f6231 100644 --- a/src/pytorch_lightning/README.md +++ b/src/pytorch_lightning/README.md @@ -9,7 +9,6 @@ ______________________________________________________________________

Website • - Key Features • How To Use • Docs • Examples •