Fix broken links in website (microsoft#23654)

Author: natke

docs/execution-providers/MIGraphX-ExecutionProvider.md

@@ -47,7 +47,7 @@ Links for prebuild Python Wheels (.whl) are linked below corresponding to python
 |1.16|6.0.0||
 |1.16|6.0.2| [Python 3.10](https://repo.radeon.com/rocm/manylinux/rocm-rel-6.0.2/onnxruntime_rocm-inference-1.17.0-cp310-cp310-linux_x86_64.whl)|
 |1.17|6.1| [Python 3.8](https://repo.radeon.com/rocm/manylinux/rocm-rel-6.1/onnxruntime_rocm-inference-1.17.0-cp38-cp38-linux_x86_64.whl) [Python 3.10](https://repo.radeon.com/rocm/manylinux/rocm-rel-6.1/onnxruntime_rocm-inference-1.17.0-cp310-cp310-linux_x86_64.whl)|
-|1.17|6.1.3| [Python 3.10](https://repo.radeon.com/rocm/manylinux/rocm-rel-6.1.3/onnxruntime_rocm-inference-1.17.0-cp310-cp310-linux_x86_64.whl)|
+|1.17|6.1.3| [Python 3.10](https://repo.radeon.com/rocm/manylinux/rocm-rel-6.1.3/onnxruntime_rocm-1.17.0-cp310-cp310-linux_x86_64.whl)|
 |1.18|6.2| [Python 3.8](https://repo.radeon.com/rocm/manylinux/rocm-rel-6.2/onnxruntime_rocm-1.18.0-cp38-cp38-linux_x86_64.whl) [Python 3.10](https://repo.radeon.com/rocm/manylinux/rocm-rel-6.2/onnxruntime_rocm-1.18.0-cp310-cp310-linux_x86_64.whl)|
 |1.18|6.2.3| [Python 3.10](https://repo.radeon.com/rocm/manylinux/rocm-rel-6.2.3/onnxruntime_rocm-1.18.0-cp310-cp310-linux_x86_64.whl)|
 |1.18|6.2.4| [Python 3.10](https://repo.radeon.com/rocm/manylinux/rocm-rel-6.2.4/onnxruntime_rocm-1.18.0-cp310-cp310-linux_x86_64.whl)|

src/routes/blogs/accelerating-phi-3-small-medium/+page.svx

@@ -112,6 +112,6 @@ The ONNX Runtime models can run up to 10X faster than the PyTorch variants. The
 
 ## Get started today
 
-To experience optimized [Phi-3](https://aka.ms/Phi-3Build2024) for yourself, you can now easily run these models using ONNX Runtime generate() [API instructions](https://aka.ms/run-phi3-med-onnx). To learn more, join us at ONNX Runtime, DML, and Phi-3 sessions at [Build](https://build.microsoft.com/en-US/sessions?search=ONNX&sortBy=relevance)!
+To experience optimized [Phi-3](https://aka.ms/Phi-3Build2024) for yourself, you can now easily run these models using ONNX Runtime generate() [API instructions](https://aka.ms/run-phi3-med-onnx). To learn more, join us at ONNX Runtime, DML, and Phi-3 sessions at [Build](https://build.microsoft.com)!