From f3299a239294389b6c39f6d7e3c210352388409a Mon Sep 17 00:00:00 2001
From: ARPIT SHARMA <93235104+ARPIT2128@users.noreply.github.com>
Date: Fri, 2 Jun 2023 14:35:23 +0530
Subject: [PATCH 1/2] Update README.md

Provided link for jupyter nb and touchscript
---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index fb2b6b841..2aa55641a 100644
--- a/README.md
+++ b/README.md
@@ -103,7 +103,7 @@ 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**
-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++.
+TorchScript is a way to create serializable and optimizable models from PyTorch code. [TorchScript](https://github.com/TouchScript/TouchScript), 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.
@@ -113,6 +113,7 @@ TensorFloat-32 (TF32) is the new math mode in [NVIDIA A100](https://www.nvidia.c
 
 **Jupyter Notebooks (NB)**
 The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
+[JUPYTER](https://jupyter.org/install)
 
 
 ## Feedback / Contributions

From 232fc7fc6d60aa97410ef5435947ccc2326d33c6 Mon Sep 17 00:00:00 2001
From: ARPIT SHARMA <93235104+ARPIT2128@users.noreply.github.com>
Date: Fri, 2 Jun 2023 14:40:42 +0530
Subject: [PATCH 2/2] Providing links for better docs readability

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 2aa55641a..359cc0125 100644
--- a/README.md
+++ b/README.md
@@ -103,7 +103,7 @@ 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**
-TorchScript is a way to create serializable and optimizable models from PyTorch code. [TorchScript](https://github.com/TouchScript/TouchScript), 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](https://pytorch.org/get-started/locally/) code. [TorchScript](https://github.com/TouchScript/TouchScript), 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.