Feedback change and corrections. (#347)

Author: grainnejenningsRH

modules/about-workbench-images.adoc

@@ -53,7 +53,7 @@ endif::[]
 ifdef::upstream[]
 | code-server 
 endif::[]
-a| With the code-server notebook image, you can customize your notebook environment to meet your needs using a variety of extensions to add new languages, themes, debuggers, and connect to additional services. Enhance the efficiency of your data science work with syntax highlighting, auto-indentation, and bracket matching, as well as an automatic task runner for seamless automation. For more information, see link:https://github.com/coder/code-server[code-server in GitHub] for more information. +
+a| With the code-server notebook image, you can customize your notebook environment to meet your needs using a variety of extensions to add new languages, themes, debuggers, and connect to additional services. Enhance the efficiency of your data science work with syntax highlighting, auto-indentation, and bracket matching, as well as an automatic task runner for seamless automation. For more information, see link:https://github.com/coder/code-server[code-server in GitHub]. +
 
 NOTE: Elyra-based pipelines are not available with the code-server notebook image.
 
@@ -85,7 +85,7 @@ endif::[]
 ifndef::upstream[]
 | CUDA - RStudio Server (Technology preview)
 a| Use the CUDA - RStudio Server notebook image to access the RStudio IDE and NVIDIA CUDA Toolkit. RStudio is an integrated development environment for R, a programming language for statistical computing and graphics. With the NVIDIA CUDA toolkit, you can optimize your work using GPU-accelerated libraries and optimization tools.
-See link:https://posit.co/products/open-source/rstudio-server/[the RStudio Server site] for more information. 
+For more information, see link:https://posit.co/products/open-source/rstudio-server/[the RStudio Server site]. 
 
 To use the *CUDA - RStudio Server* notebook image, you must first build it by creating a secret and triggering the BuildConfig, and then enable it in the {productname-short} UI by editing the `cuda-rstudio-rhel9` image stream. For more information, see link:{rhoaidocshome}{default-format-url}/getting_started_with_{url-productname-long}/creating-a-workbench-select-ide_get-started#building-the-rstudio-server-workbench-images_get-started[Building the RStudio Server workbench images]. +