Update Deeploy 101 tutorial

Author: Victor-Jung

docs/tutorials/introduction.md

@@ -69,7 +69,7 @@ You can visualize the ONNX graphs using [Netron](https://netron.app/). Either us
 
 > ✅ **Task:** Visualize the ONNX graph of the `Tests/Kernels/Integer/Add/Regular`, `Tests/Models/MobileNetv2`, and `Tests/Models/Transformer`
 
-The ONNX graphs are in `DeeployTest/Tests/<TestName>/network.onnx`. The networks are increasing in complexity, `IntKernels/Add/Regular` is a single node network for unit testing, while `Tests/Models/MobileNetv2` is a simple sequential network mostly made of convolutions. Finally, the `Tests/Models/Transformer` network showcases a typical transformer block used in Encoder and Decoder networks. If you want to peek at a complex network, you can visualize `Models/microLlama/microLlama128`.
+The ONNX graphs are in `DeeployTest/Tests/<TestName>/network.onnx`. The networks are increasing in complexity, `Tests/Kernels/Integer/Add/Regular` is a single node network for unit testing, while `Tests/Models/MobileNetv2` is a simple sequential network mostly made of convolutions. Finally, the `Tests/Models/Transformer` network showcases a typical transformer block used in Encoder and Decoder networks. If you want to peek at a complex network, you can visualize `Models/microLlama/microLlama128`.
 
 Now that we understand Deeploy's input, let's check the output-generated code!