Update README.md

README.md

@@ -44,7 +44,7 @@ pip install lightning-bolts
 Install bleeding-edge (no guarantees)
 
 ```bash
-pip install git+https://github.com/PytorchLightning/lightning-bolts.git@master --upgrade
+pip install https://github.com/Lightning-Universe/lightning-bolts/archive/refs/heads/master.zip
 ```
 
 To install all optional dependencies
@@ -55,14 +55,9 @@ pip install lightning-bolts["extra"]
 
 </details>
 
-## What is Bolts
+## What is Bolts?
 
-Bolts provides a variety of components to extend PyTorch Lightning such as callbacks & datasets, for applied research and production.
-
-## News
-
-- Sept 22: [Leverage Sparsity for Faster Inference with Lightning Flash and SparseML](https://devblog.pytorchlightning.ai/leverage-sparsity-for-faster-inference-with-lightning-flash-and-sparseml-cdda1165622b)
-- Aug 26: [Fine-tune Transformers Faster with Lightning Flash and Torch ORT](https://devblog.pytorchlightning.ai/fine-tune-transformers-faster-with-lightning-flash-and-torch-ort-ec2d53789dc3)
+Bolts package provides a variety of components to extend PyTorch Lightning, such as callbacks & datasets, for applied research and production.
 
 #### Example 1: Accelerate Lightning Training with the Torch ORT Callback
 
@@ -112,11 +107,11 @@ trainer.fit(model)
 
 ## Are specific research implementations supported?
 
-We'd like to encourage users to contribute general components that will help a broad range of problems, however components that help specifics domains will also be welcomed!
+We'd like to encourage users to contribute general components that will help a broad range of problems; however, components that help specific domains will also be welcomed!
 
-For example a callback to help train SSL models would be a great contribution, however the next greatest SSL model from your latest paper would be a good contribution to [Lightning Flash](https://github.com/PyTorchLightning/lightning-flash).
+For example, a callback to help train SSL models would be a great contribution; however, the next greatest SSL model from your latest paper would be a good contribution to [Lightning Flash](https://github.com/PyTorchLightning/lightning-flash).
 
-Use [Lightning Flash](https://github.com/PyTorchLightning/lightning-flash) to train, predict and serve state-of-the-art models for applied research. We suggest looking at our [VISSL](https://lightning-flash.readthedocs.io/en/latest/integrations/vissl.html) Flash integration for SSL based tasks.
+Use [Lightning Flash](https://github.com/PyTorchLightning/lightning-flash) to train, predict and serve state-of-the-art models for applied research. We suggest looking at our [VISSL](https://lightning-flash.readthedocs.io/en/latest/integrations/vissl.html) Flash integration for SSL-based tasks.
 
 ## Contribute!
 
@@ -129,4 +124,4 @@ ______________________________________________________________________
 ## License
 
 Please observe the Apache 2.0 license that is listed in this repository.
-In addition the Lightning framework is Patent Pending.
+In addition, the Lightning framework is Patent Pending.