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Update Readme 2/n (#19466) 

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Co-authored-by: thomas <thomas@thomass-MacBook-Pro.local>
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@ -92,12 +92,14 @@ pip install -iU https://test.pypi.org/simple/ pytorch-lightning
______________________________________________________________________ ______________________________________________________________________
## Lightning has 3 core packages ## Lightning has 4 core packages
[PyTorch Lightning: Train and deploy PyTorch at scale](#pytorch-lightning-train-and-deploy-pytorch-at-scale). [PyTorch Lightning: Train and deploy PyTorch at scale](#pytorch-lightning-train-and-deploy-pytorch-at-scale).
<br/> <br/>
[Lightning Fabric: Expert control](#lightning-fabric-expert-control). [Lightning Fabric: Expert control](#lightning-fabric-expert-control).
<br/> <br/>
[Lightning Data: Blazing fast, distributed streaming of training data from cloud storage](https://github.com/Lightning-AI/pytorch-lightning/tree/master/src/lightning/data).
<br/>
[Lightning Apps: Build AI products and ML workflows](#lightning-apps-build-ai-products-and-ml-workflows). [Lightning Apps: Build AI products and ML workflows](#lightning-apps-build-ai-products-and-ml-workflows).
Lightning gives you granular control over how much abstraction you want to add over PyTorch. Lightning gives you granular control over how much abstraction you want to add over PyTorch.