diff --git a/README.md b/README.md
index 8306daa..b61e454 100644
--- a/README.md
+++ b/README.md
@@ -2,17 +2,25 @@
 
 Code experimenting with PyTorch using Intel architecture (i.e., Intel Core Ultra processor with iGPU) or `xpu`.
 
-After installing `ipex-llm` which is required to use Intel GPUs (see documentation in [Links](#links)), you can should have access to `conda` and be able to `import torch` normally.
+After installing `ipex-llm` which is required to use Intel GPUs (see [Setup](#setup)), you will have access to `conda` and be able to `import torch` normally.
 
 ## Setup
 
-1. Run `env.sh` to activate the conda environment and set
+1. [Install IPEX-LLM on Intel GPU with PyTorch 2.6](https://git.ayo.run/ayo/ipex-llm/src/branch/main/docs/mddocs/Quickstart/install_pytorch26_gpu.md)
+
+2. Clone repo
+
+```bash
+$ git clone https://git.ayo.run/ayo/learn-pytorch
+```
+
+3. Run `env.sh` to activate the conda environment and set
 
 ```bash
 $ . env.sh
 ```
 
-2. (Optional) Confirm if XPU is detected
+4. (Optional) Confirm if XPU is detected
 
 ```bash
 $ python # go intou the python shell
@@ -25,5 +33,4 @@ $ torch.xpu.get_device_name()
 
 ## Links
 
-- [Install IPEX-LLM on Intel GPU with PyTorch 2.6](https://git.ayo.run/ayo/ipex-llm/src/branch/main/docs/mddocs/Quickstart/install_pytorch26_gpu.md)
 - [Get started with PyTorch locally](https://pytorch.org/get-started/locally/)