couple of small fixes

docs/hpc/01_getting_started/02_getting_and_renewing_an_account.mdx

@@ -70,17 +70,20 @@ Each year, your sponsored users must renew their account. You will need to appro
 
 HPC bulk accounts request is disabled for HPC sponsors.
 
--   If you would like to use JupyterHub for your classes, please don't submit the form below, read \[Jupyter Hub page]**TODO Add a page for JHub in the Cloud section** instead (the link to an intake form is also there)
+-   If you would like to use JupyterHub for your classes, please don't submit the form below, read the [Jupyter Hub section of the Instructional Tools for Coding Page](https://www.nyu.edu/life/information-technology/teaching-and-learning-services/instructional-tools/instructional-tools-for-coding.html?challenge=d06e90d7-4d8f-4b88-9d8c-10b73beb60f1) instead (the link to an intake form is also there)
 
 -   Please fill out this [request form][hpc account request form link for courses] for the course, we'll create HPC accounts for the class per request
 :::note
 Accounts created for courses last until the end of the semester, rather than a full year.
 :::
+
+<!---
 ## Getting an account with one of NYU partners
 
 \[NYU partners with many state and national facilities](**TODO:link to list**) with a variety of HPC systems and expertise. 
 
 [Contact us](email:[email protected]) for assistance setting up a collaboration with any of these.
+--->
 
 ## Non-NYU Researchers
 

docs/hpc/01_getting_started/07_hpc_project_management_portal.mdx

@@ -7,7 +7,7 @@ import TabItem from '@theme/TabItem';
 This section is only applicable to the Torch cluster. An active allocation is necessary to sumbmit jobs on Torch.
 :::
 
-The HPC project and allocation management portal for Torch can access it by navigating to [projects.hpc.nyu.edu](https://projects.hpc.nyu.edu). With it you can:
+The HPC project and allocation management portal for Torch can be accessed by navigating to [projects.hpc.nyu.edu](https://projects.hpc.nyu.edu). With it you can:
 <Tabs>
   <TabItem value="PIs" label="PIs" default>
     -   Create a project

docs/hpc/08_ml_ai_hpc/01_intro.md

@@ -2,6 +2,6 @@
 
 Many people are interested in running ML and/or AI workflows on the HPC resources.  To help facilitate this we have created this section that will provide examples of how one might use our resources for ML and AI tasks.
 
-For ML we'll cover two prominent open-source deep learning frameworks, PyTorch and TensorFlow (coming soon).  We'll show how to start with a single GPU example and then show more sophisticated examples. 
+For ML we'll cover two prominent open-source deep learning frameworks, PyTorch and TensorFlow.  We'll show how to start with a single GPU example and then show more sophisticated examples. 
 
 For AI we'll cover how to run a Hugging Face Large Language Model (LLM) and how to fine tune an LLM.