Update grpo_with_pathways.md and sft_on_multi_host.md with pathways cluster create

Author: shauryagup

docs/tutorials/grpo_with_pathways.md

@@ -54,7 +54,7 @@ bash docker_upload_runner.sh CLOUD_IMAGE_NAME=path/to/gcr.io
 
 ### Submit your jobs
 
-Please use a pathways enabled [XPK](https://github.com/AI-Hypercomputer/xpk) cluster, and you can submit the `train_rl.py` script via [XPK](https://github.com/AI-Hypercomputer/xpk)
+Please create a pathways ready GKE cluster as described [here](https://docs.cloud.google.com/ai-hypercomputer/docs/workloads/pathways-on-cloud/create-gke-cluster), and you can submit the `train_rl.py` script via [XPK](https://github.com/AI-Hypercomputer/xpk)
 ```
 xpk workload create-pathways --workload $WORKLOAD \
 --docker-image path/to/gcr.io:latest --cluster $TPU_CLUSTER \

docs/tutorials/sft_on_multi_host.md

@@ -50,7 +50,7 @@ The `docker_upload_runner.sh` script uploads your Docker image to Artifact Regis
 Install XPK by following the instructions in the [official documentation](https://github.com/AI-Hypercomputer/xpk?tab=readme-ov-file#installation-via-pip).
 
 ## 3. Create GKE cluster
-If you don't already have a GKE cluster, create one by following the [XPK cluster creation guide](https://github.com/AI-Hypercomputer/xpk?tab=readme-ov-file#cluster-create). Ensure the cluster is Pathways-compatible when running SFT with Pathways.
+Use a pathways ready GKE cluster as described [here](https://docs.cloud.google.com/ai-hypercomputer/docs/workloads/pathways-on-cloud/create-gke-cluster)
 
 ## 4. Environment configuration
 ```bash