odh-8304 fixed links

_artifacts/document-attributes-global.adoc

@@ -37,8 +37,7 @@ ifdef::upstream[]
 :install-package: Operator
 :openshift-platform: OpenShift Container Platform
 :openshift-platform-url: openshift-container-platform
-//:odhdocshome: https://opendatahub.io/docs
-:odhdocshome: http://localhost:9000/docs
+:odhdocshome: https://opendatahub.io/docs
 endif::[]
 
 ifndef::upstream[]

modules/adding-notebook-pod-tolerations.adoc

@@ -22,7 +22,7 @@ This capability is useful if you want to make sure that notebook servers are pla
 For existing notebook pods, the toleration key is applied when the notebook pods are restarted. 
 ifdef::upstream[]
 If you are using Jupyter, see link:{odhdocshome}/working-with-connected-applications/#updating-notebook-server-settings-by-restarting-your-server_connected-apps[Updating notebook server settings by restarting your server].
-If you are using a workbench in a data science project, see link:{odhdocshome}/working-on-data-science-projects/#_using_project_workbenches[Starting a workbench].
+If you are using a workbench in a data science project, see link:{odhdocshome}/working-on-data-science-projects/#starting-a-workbench_projects[Starting a workbench].
 endif::[]
 
 ifndef::upstream[]

modules/configuring-quota-management-for-distributed-workloads.adoc

@@ -32,7 +32,7 @@ ifndef::upstream[]
 * You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{rhoaidocshome}{default-format-url}/working_on_data_science_projects/using-data-science-projects_projects#creating-a-data-science-project_projects[Creating a data science project]. 
 endif::[]
 ifdef::upstream[]
-* You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{odhdocshome}/working-on-data-science-projects/#_using_data_science_projects[Creating a data science project]. 
+* You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{odhdocshome}/working-on-data-science-projects/#creating-a-data-science-project_projects[Creating a data science project]. 
 endif::[]
 
 * You have sufficient resources. In addition to the base {productname-short} resources, you need 1.6 vCPU and 2 GiB memory to deploy the distributed workloads infrastructure.

modules/enabling-gpu-support-in-data-science.adoc

@@ -90,6 +90,6 @@ After installing the NVIDIA GPU Operator, create an accelerator profile as descr
 endif::[]
 //the following step applies to upstream only
 ifdef::upstream[]
-After installing the NVIDIA GPU Operator, create an accelerator profile as described in link:{odhdocshome}/working-on-data-science-projects/#working-with-accelerator-profiles_accelerators[Working with accelerator profiles].
+After installing the NVIDIA GPU Operator, create an accelerator profile as described in link:{odhdocshome}/working-with-accelerators/[Working with accelerators].
 endif::[]
 

modules/enabling-trustyai-service-using-cli.adoc

@@ -72,7 +72,7 @@ endif::[]
 ifdef::upstream[]
 * If you are using specialized {productname-short} groups, you are part of the user group or admin group (for example, {odh-user-group} or {odh-admin-group}) in OpenShift.
 
-* The data scientist has created a data science project, as described in link:{odhdocshome}/working-on-data-science-projects/#working-on-data-science-projects_projects[Creating a data science project], that contains (or will contain) the models that the data scientist wants to monitor.  
+* The data scientist has created a data science project, as described in link:{odhdocshome}/working-on-data-science-projects/#creating-a-data-science-project_projects[Creating a data science project], that contains (or will contain) the models that the data scientist wants to monitor.  
 endif::[]
 
 .Procedure

modules/enabling-trustyai-service-using-dashboard.adoc

@@ -79,7 +79,7 @@ endif::[]
 ifdef::upstream[]
 * If you are using specialized {productname-short} groups, you are part of the user group or admin group (for example, {odh-user-group} or {odh-admin-group}) in OpenShift.
 
-* The data scientist has created a data science project, as described in link:{odhdocshome}/working-on-data-science-projects#working-on-data-science-projects_projects[Creating a data science project], that contains (or will contain) the models that the data scientist wants to monitor.
+* The data scientist has created a data science project, as described in link:{odhdocshome}/working-on-data-science-projects/#creating-a-data-science-project_projects[Creating a data science project], that contains (or will contain) the models that the data scientist wants to monitor.
 endif::[]
 
 .Procedure

modules/running-distributed-data-science-workloads-disconnected-env.adoc

@@ -21,7 +21,7 @@ ifndef::upstream[]
 * You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{rhoaidocshome}{default-format-url}/working_on_data_science_projects/using-data-science-projects_projects#creating-a-data-science-project_projects[Creating a data science project].
 endif::[]
 ifdef::upstream[]
-* You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{odhdocshome}/working-on-data-science-projects/#_using_data_science_projects[Creating a data science project].
+* You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{odhdocshome}/workiworking-on-data-science-projects/#creating-a-data-science-project_projects[Creating a data science project].
 endif::[]
 
 * You have Admin access for the data science project.

modules/running-distributed-data-science-workloads-from-ds-pipelines.adoc

@@ -63,7 +63,7 @@ ifndef::upstream[]
 * You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{rhoaidocshome}{default-format-url}/working_on_data_science_projects/using-data-science-projects_projects#creating-a-data-science-project_projects[Creating a data science project].
 endif::[]
 ifdef::upstream[]
-* You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{odhdocshome}/working-on-data-science-projects/#_using_data_science_projects[Creating a data science project].
+* You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. For information about how to create a project, see link:{odhdocshome}/working-on-data-science-projects/#creating-a-data-science-project_projects[Creating a data science project].
 endif::[]
 
 * You have Admin access for the data science project.

modules/running-distributed-data-science-workloads-from-notebooks.adoc

@@ -54,7 +54,7 @@ For information about how to create a project, see link:{rhoaidocshome}{default-
 endif::[]
 ifdef::upstream[]
 * You have created a data science project that contains a workbench, and the workbench is running a default notebook image that contains the CodeFlare SDK, for example, the *Standard Data Science* notebook. 
-For information about how to create a project, see link:{odhdocshome}/working-on-data-science-projects/#_using_data_science_projects[Creating a data science project].
+For information about how to create a project, see link:{odhdocshome}/working-on-data-science-projects/#creating-a-data-science-project_projects[Creating a data science project].
 endif::[]
 
 * You have Admin access for the data science project.

modules/viewing-pipeline-step-logs.adoc

@@ -13,7 +13,7 @@ Logs are no longer stored in S3-compatible storage for Python scripts which are
 
 For this change to take effect, you must use the latest runtime images for Elyra, which are provided in the 2024.1 workbench images.
 
-If you have an older workbench image version, update the *Version selection* field to `2024.1`, as described in the 'Updating a project workbench' section of link:{odhdocshome}/working-on-data-science-projects/#_using_project_workbenches[Using project workbenches].
+If you have an older workbench image version, update the *Version selection* field to `2024.1`, as described in link:{odhdocshome}/working-on-data-science-projects/#updating-a-project-workbench_projects[Updating a project workbench].
 endif::[]
 
 ifndef::upstream[] 

working-with-connected-applications.adoc

@@ -32,7 +32,7 @@ ifndef::upstream[]
 Note that the preferred way to access Jupyter on {productname-short} is through a data science project, as described in link:{rhoaidocshome}{default-format-url}/working_on_data_science_projects/using-project-workbenches_projects#creating-a-workbench-select-ide_projects[Creating a workbench and selecting an IDE]. The advantages to using an {productname-short} data science project and creating a workbench that includes Jupyter, is that your project organizes your data science work in one place and adds functionality such as data connections so that you can access data and save your models and pipelines for automating your ML workflow.
 endif::[]
 ifdef::upstream[]
-Note that the preferred way to access Jupyter on {productname-short} is through a data science project, as described in link:{odhdocshome}/working-on-data-science-projects/#_creating-a-workbench-select-ide[Creating a workbench and selecting an IDE]. The advantages to using an {productname-short} data science project and creating a workbench that includes Jupyter, is that your project organizes your data science work in one place and adds functionality such as data connections so that you can access data and save your models and pipelines for automating your ML workflow.
+Note that the preferred way to access Jupyter on {productname-short} is through a data science project, as described in link:{odhdocshome}/working-on-data-science-projects/#creating-a-workbench-select-ide_projects[Creating a workbench and selecting an IDE]. The advantages to using an {productname-short} data science project and creating a workbench that includes Jupyter, is that your project organizes your data science work in one place and adds functionality such as data connections so that you can access data and save your models and pipelines for automating your ML workflow.
 endif::[]
 
 include::modules/starting-a-jupyter-notebook-server.adoc[leveloffset=+2]