Update README.md

README.md

@@ -22,11 +22,11 @@ To contact us, please reach to our Discord channel (https://discord.gg/tenstorre
 
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-TT-Metalium
-Tenstorrent’s bare-metal programming stack defines a low-level programming model to allow users to write custom kernels for deployment on Tenstorrent hardware. It comes with debug and performance profiling tools. 
+TT-Metalium’s bare-metal programming stack defines a low-level programming model to allow users to write custom kernels for deployment on Tenstorrent hardware. It comes with debug and performance profiling tools. 
 
-Tenstorrent’s stack also comes with the company’s Python-based TT-NN library, which can run AI models out of the box without needing to deal with the complexities of the hardware, so there is no need to write custom kernels unless the application requires it. 
+The software stack comes with the company’s Python-based TT-NN library, which can run AI models out of the box without needing to deal with the complexities of the hardware, so there is no need to write custom kernels unless the application requires it. 
 
-Metalium will be used to fine-tune performance for production deployments, where small efficiencies can be multiplied by the scale of the deployment, and to develop custom kernels for scientific computing, where operations are not well-supported by existing kernel libraries.
+TT-Metalium will be used to fine-tune performance for production deployments, where small efficiencies can be multiplied by the scale of the deployment, and to develop custom kernels for scientific computing, where operations are not well-supported by existing kernel libraries.
 
-For more details on the software, please visit https://tenstorrent.com/software/tt-metalium/ and the documentation https://tenstorrent-metal.github.io/tt-metal/latest/
+For more details on the software, please visit https://tenstorrent.com/software/tt-metalium/
+and the documentation https://tenstorrent-metal.github.io/tt-metal/latest/