diff --git a/docs/Researcher/scheduling/launching-workloads-with-dynamic-gpu-fractions.md b/docs/Researcher/scheduling/launching-workloads-with-dynamic-gpu-fractions.md
index 36ad28477d..b081644216 100644
--- a/docs/Researcher/scheduling/launching-workloads-with-dynamic-gpu-fractions.md
+++ b/docs/Researcher/scheduling/launching-workloads-with-dynamic-gpu-fractions.md
@@ -103,7 +103,7 @@ Before you start, make sure:
 === "API"
     Copy the following command to your terminal. Make sure to update the below parameters according to the comments. For more details, see [Workspaces API:](https://api-docs.run.ai/latest/tag/Workspaces)
 
-    ```sh
+    ```bash
     curl -L 'https://<COMPANY-URL>/api/v1/workloads/workspaces' \ #<COMPANY-URL> is the link to the Run:ai user interface.
     -H 'Content-Type: application/json' \
     -H 'Authorization: Bearer <TOKEN>' \ #<TOKEN> is the API access token obtained in Step 1. 
@@ -114,21 +114,20 @@ Before you start, make sure:
         "spec": {
             "command" : "start-notebook.sh",
             "args" : "--NotebookApp.base_url=/${RUNAI_PROJECT}/${RUNAI_JOB_NAME} --NotebookApp.token=''",
-            "image": "jupyter/scipy-notebook",
+            "image": "gcr.io/run-ai-lab/pytorch-example-jupyter",
+            "exposedUrls": [
+              {
+                "container": 8888,
+                "toolType": "jupyter-notebook",
+                "toolName": "Jupyter"
+              }
+            ],
             "compute": {
-                "gpuDevicesRequest": 1
-                "gpuMemoryRequest": "4G",
-                "gpuMemoryLimit": "12G",
-                "largeShmRequest": true
-
-            },
-            "exposedUrls" : [
-                { 
-                    "container" : 8888,
-                    "toolType": "jupyter-notebook", \ #toolType will show the Jupyter icon when connecting to the Jupyter tool via the user interface. 
-                    "toolName": "Jupyter" \ #toolName text will show when connecting to the Jupyter tool via the user interface. 
-                }
-             ]
+              "gpuDevicesRequest": 1,
+              "gpuMemoryRequest": "4G",
+              "gpuMemoryLimit": "12G",
+              "largeShmRequest": true
+            }     
         }
     }'
     ```
@@ -172,7 +171,7 @@ Before you start, make sure:
 === "API"
     Copy the following command to your terminal. Make sure to update the below parameters according to the comments. For more details, see [Workspaces API](https://api-docs.run.ai/latest/tag/Workspaces):
 
-    ```sh
+    ```bash
     curl -L 'https://<COMPANY-URL>/api/v1/workloads/workspaces' \ #<COMPANY-URL> is the link to the Run:ai user interface.
     -H 'Content-Type: application/json' \
     -H 'Authorization: Bearer <TOKEN>' \ #<TOKEN> is the API access token obtained in Step 1. 
@@ -183,21 +182,20 @@ Before you start, make sure:
         "spec": {
             "command" : "start-notebook.sh",
             "args" : "--NotebookApp.base_url=/${RUNAI_PROJECT}/${RUNAI_JOB_NAME} --NotebookApp.token=''",
-            "image": "jupyter/scipy-notebook",
+            "image": "gcr.io/run-ai-lab/pytorch-example-jupyter",
+            "exposedUrls": [
+              {
+                "container": 8888,
+                "toolType": "jupyter-notebook",
+                "toolName": "Jupyter"
+              }
+            ],
             "compute": {
-                "gpuDevicesRequest": 1
-                "gpuMemoryRequest": "4G",
-                "gpuMemoryLimit": "12G",
-                "largeShmRequest": true
-
-            },
-            "exposedUrls" : [
-                { 
-                    "container" : 8888,
-                    "toolType": "jupyter-notebook", \ #toolType will show the Jupyter icon when connecting to the Jupyter tool via the user interface. 
-                    "toolName": "Jupyter" \ #toolName text will show when connecting to the Jupyter tool via the user interface. 
-                }
-            ]
+              "gpuDevicesRequest": 1,
+              "gpuMemoryRequest": "4G",
+              "gpuMemoryLimit": "12G",
+              "largeShmRequest": true
+            }
         }
     }'
     ```
diff --git a/docs/Researcher/scheduling/launching-workloads-with-gpu-fractions.md b/docs/Researcher/scheduling/launching-workloads-with-gpu-fractions.md
index 63e89f72c2..c583c734cb 100644
--- a/docs/Researcher/scheduling/launching-workloads-with-gpu-fractions.md
+++ b/docs/Researcher/scheduling/launching-workloads-with-gpu-fractions.md
@@ -139,20 +139,20 @@ Before you start, make sure:
         "spec": {
             "command" : "start-notebook.sh",
             "args" : "--NotebookApp.base_url=/${RUNAI_PROJECT}/${RUNAI_JOB_NAME} --NotebookApp.token=''",
-            "image": "jupyter/scipy-notebook",
+            "image": "jupyter/base-notebook",
+            "exposedUrls": [
+              {
+                "container": 8888,
+                "toolType": "jupyter-notebook",
+                "toolName": "Jupyter"
+              }
+            ],
             "compute": {
-                "gpuDevicesRequest": 1
-                "gpuRequestType": "portion",
-                "gpuPortionRequest": 0.1
-
-            },
-            "exposedUrls" : [
-                { 
-                    "container" : 8888,
-                    "toolType": "jupyter-notebook", \ #toolType will show the Jupyter icon when connecting to the Jupyter tool via the user interface. 
-                    "toolName": "Jupyter" \ #toolName text will show when connecting to the Jupyter tool via the user interface. 
-                }
-            ]
+              "gpuDevicesRequest": 1,
+              "gpuRequestType": "portion",
+              "gpuPortionRequest": 0.1
+
+            }
         }
     }'
     ```
diff --git a/docs/Researcher/scheduling/launching-workloads-with-gpu-memory-swap.md b/docs/Researcher/scheduling/launching-workloads-with-gpu-memory-swap.md
index dd68a3f74e..76effb05b5 100644
--- a/docs/Researcher/scheduling/launching-workloads-with-gpu-memory-swap.md
+++ b/docs/Researcher/scheduling/launching-workloads-with-gpu-memory-swap.md
@@ -103,9 +103,9 @@ Before you start, make sure:
             }
             ],
             "compute": {
-                "gpuDevicesRequest": 1
+                "gpuDevicesRequest": 1,
                 "gpuRequestType": "portion",
-                "gpuPortionRequest": 0.1
+                "gpuPortionRequest": 0.1,
                 "gpuPortionLimit": 1,
                 "cpuCoreRequest":0.2,
                 "cpuMemoryRequest": "200M",
@@ -172,9 +172,9 @@ Before you start, make sure:
             }
             ],
             "compute": {
-                "gpuDevicesRequest": 1
+                "gpuDevicesRequest": 1,
                 "gpuRequestType": "portion",
-                "gpuPortionRequest": 0.1
+                "gpuPortionRequest": 0.1,
                 "gpuPortionLimit": 1,
                 "cpuCoreRequest":0.2,
                 "cpuMemoryRequest": "200M",
diff --git a/docs/Researcher/workloads/workspaces/quickstart-jupyter.md b/docs/Researcher/workloads/workspaces/quickstart-jupyter.md
index 953dc25ae6..0e39d405da 100644
--- a/docs/Researcher/workloads/workspaces/quickstart-jupyter.md
+++ b/docs/Researcher/workloads/workspaces/quickstart-jupyter.md
@@ -40,7 +40,7 @@ Before you start, make sure:
 
 ## Step 2: Submitting a workspace
 
-=== "UI
+=== "UI"
     1. Go to the Workload manager → Workloads
     2. Select __+NEW WORKLOAD__ and then __Workspace__   
     3. Select under which __cluster__ to create the workload