Update README.md

Co-authored-by: nv-kkudrynski <[email protected]>

Author: alvarognvidia

README.md

@@ -87,7 +87,7 @@ TensorFlow XLA and PyTorch JIT and/or TorchScript
 XLA is a domain-specific compiler for linear algebra that can accelerate TensorFlow models with potentially no source code changes. The results are improvements in speed and memory usage.
 
 **PyTorch JIT and/or TorchScript**  
-orchScript is a way to create serializable and optimizable models from PyTorch code. TorchScript, an intermediate representation of a PyTorch model (subclass of nn.Module) that can then be run in a high-performance environment such as C++.
+TorchScript is a way to create serializable and optimizable models from PyTorch code. TorchScript, an intermediate representation of a PyTorch model (subclass of nn.Module) that can then be run in a high-performance environment such as C++.
 
 **Automatic Mixed Precision (AMP)**  
 Automatic Mixed Precision (AMP) enables mixed precision training on Volta, Turing, and NVIDIA Ampere GPU architectures automatically.