NYU-RTS · s-sajid-ali · Jul 23, 2026 · Jul 6, 2026 · Jul 6, 2026 · Jul 6, 2026
diff --git a/docs/cloud/02_gcp_self_managed/01_intro.md b/docs/cloud/02_gcp_self_managed/01_intro.md
@@ -12,7 +12,7 @@ We facilitate access to Google Cloud Platform (GCP) for your research projects.
 
 In addition to the I2 Net+ GCP benefits, NYU scholars can enjoy significant discounts in using GCP resources in their research project through a 3 year commitment (started in 2019) NYU made in GCP. The NYU network connects with GCP via Partner Interconnect using [Internet2 Cloud Connect (I2CC)][internet2-cc] service.
 
-## Why work with the NYU Research Cloud team to deploy your research project on GCP?
+## Why Work with the NYU Research Cloud Team to Deploy Your Research Project on GCP?
 
 NYU researchers who work with the Research Cloud team to deploy projects on GCP may benefit from the following:
 -   Discounted rates, lower GCP project cost:  Through NYU's participation in the Internet2 Net+ agreement, as well as the 3-year commitment NYU made to using GCP, GCP projects enjoy discounted rates, lowering the cost of the project. The exact discounts depend on the GCP service used in the research project and can vary between 5% and 25%. Free data egress is usually included.
@@ -36,12 +36,13 @@ The NYU Research Cloud team does not currently offer training on how to deploy a
 -   Through the [Google For Education][google-for-edu] program, GCP offers training credits and discounts to Students, Faculty, and IT Admins. To apply for training credits and discounts, please [click here](https://services.google.com/fb/forms/googlecloudskillsbooststudenttrainingcreditsapplication/).
 -   [Getting started with Google Cloud Platform][gcp-get-started] offers quick starts and sample projects on GCP.
 
-## How can I fund my research project on GCP?
+## How Can I Fund My Research Project on GCP?
 ### GCP Free Tier
 Apply for credits using your NYU account (https://cloud.google.com/free/). After credits expire, if you would like to switch to another type of funding and are approved to do so, we will modify your project so it can use other funds:
 -   https://edu.google.com/programs/credits/research/?modal_active=none
 -   https://edu.google.com/programs/?modal_active=none
-### Sources of funding for GCP project
+
+### Sources of Funding for GCP Project
 Please consider options below and explore other options which may exist for your specific field.
 -   [Google Cloud research credits][gcp-credits]
 -   NIH STRIDES

diff --git a/docs/cloud/02_gcp_self_managed/02_nih_strides.md b/docs/cloud/02_gcp_self_managed/02_nih_strides.md
@@ -13,7 +13,7 @@ The benefits of participating in NIH Strides program include:
 -   Receive opportunities for professional service engagements to help drive success
 -   Receive guidance for best practices in areas such as data storage, governance, and controlled access
 
-## Enrolling to the NIH Strides initiative
+## Enrolling to the NIH Strides Initiative
 
 NYU has enrolled in the NIH Strides initiative in December 2020 by signing an agreement with Carahsoft, GCP's billing and administrative partner. Thus NIH-funded NYU researchers with an active NIH award may take advantage of the STRIDES Initiative for their NIH-funded research projects. The NYU RTS team works closely with Burwood Group, a GCP reseller, to provide access to GCP resources for NYU researchers who are approved to participate in the NIH STRIDES initiative. NYU researchers who wish to participate must follow the steps outlined below.
 

diff --git a/docs/cloud/04_dataproc/01_intro.md b/docs/cloud/04_dataproc/01_intro.md
@@ -9,7 +9,7 @@
 
 Dataproc is a cloud-based Hadoop distribution that is managed by Google.  Google administers updates to Dataproc so that it is kept current.  Google also packages and maintains additional software that can be run on top of Hadoop. Additionally Dataproc includes other cloud-specific features, such as the ability to automatically add/remove nodes depending upon how busy the cluster is (autoscaling).  It can also use object storage ([GCS][gcs]) or [BigQuery][bigquery] as an alternative to HDFS, and provides integration with [BigTable][bigtable] using HBase interfaces.
 
-### What is Hadoop?
+### What Is Hadoop?
 
 Hadoop is an open-source software framework for storing and processing big data in a distributed/parallel fashion on large clusters of commodity hardware. At its core, Hadoop strives to increase processing speed by increasing [data locality][data-locality] (i.e., it moves computation to servers where the data is located).  There are three components to Hadoop: HDFS (the Hadoop Distributed File System), the Hadoop implementation of MapReduce, and YARN (Yet Another Resource Negotiator; a scheduler).
 

diff --git a/docs/cloud/04_dataproc/02_data_management.md b/docs/cloud/04_dataproc/02_data_management.md
@@ -1,4 +1,4 @@
-# Data management
+# Data Management
 
 HDFS stands for Hadoop Distributed File System. HDFS is a highly fault-tolerant file system and is designed to be deployed on low-cost hardware. HDFS provides high throughput access to application data and is suitable for analyses that use large datasets.
 

diff --git a/docs/genai/02_onboarding/01_intro.mdx b/docs/genai/02_onboarding/01_intro.mdx
@@ -5,11 +5,11 @@
 This section deals with the eligibility for getting access to Pythia. To learn more about affiliate access (students after graduation, collaborators from other institutions, please refer to [this section](../../hpc/01_getting_started/02_HPC_Accounts/01_getting_and_renewing_an_account.mdx))
 
 :::tip[workspaces]
-Access to Pythia is facilitated via workspaces. Beyond facilitating access, they also allow team members to collaboratively dvelop prompts.
+Access to Pythia is facilitated via workspaces. Beyond facilitating access, they also allow team members to collaboratively develop prompts.
 :::
 
 
-## Who is eligible for to access Pythia?
+## Who Is Eligible for to Access Pythia?
 All full-time NYU faculty have the ability to request the creation of workspaces by filling out [the research intake form][research-workspace-request]. Once we create the workspace, members need to submit the [member on-boarding form][member-onboarding-form] to gain access to the workspace. Please be sure to indicate the models you'd like access to from the [catalouge](../03_external_llms/01_catalogue.md)
 
 

diff --git a/docs/genai/02_onboarding/02_setup.mdx b/docs/genai/02_onboarding/02_setup.mdx
@@ -1,6 +1,6 @@
 # Setup
 
-## Accessing your workspace
+## Accessing Your Workspace
 Login to Portkey at [`app.portkey.ai`](https://app.portkey.ai/login) with the `Single-sign-on` option using your NYU NetID. Once you're in, you'll be placed in the "Shared Workspace" by default. You can navigate to your workspace by selecting it from the workspace drop-down list from the top of the left sidebar.
 
 ## API Keys

diff --git a/docs/genai/02_onboarding/03_quickstart.mdx b/docs/genai/02_onboarding/03_quickstart.mdx
@@ -7,7 +7,7 @@ If you are sending requests from a server like Colab notebook while your laptop
 :::
 
 
-## Getting started with the LLM gateway
+## Getting Started with the LLM Gateway
 
 :::tip[Gateway URL]
 Whenever you instantiate a Portkey client, the `base_url` must be set to `base_url="https://ai-gateway.apps.cloud.rt.nyu.edu/v1/"`. If you miss this parameter you would be connecting to the vendor's SaaS platform and the API keys you created after signing on with SSO will not work.

diff --git a/docs/genai/04_how_to_guides/01_temperature.md b/docs/genai/04_how_to_guides/01_temperature.md
@@ -34,7 +34,7 @@ completion = portkey.chat.completions.create(
 print(completion)
 ```
 
-At the temperature of 2.0, you might get an output along along the lines of:
+At the temperature of 2.0, you might get an output along the lines of:
 
 -   ``"listening to old radio static."``
 -   ``"... a really peculiar shade of chartreuse today."``

diff --git a/docs/genai/04_how_to_guides/02_embeddings.mdx b/docs/genai/04_how_to_guides/02_embeddings.mdx
@@ -1,6 +1,6 @@
-# Generating embeddings
+# Generating Embeddings
 
-While Decoder-only LLMs gained massive popularity via their usage in chatbots, Encoder-only LLMs can be used for a wider variety of tasks. Decoder-only LLMs "generate" tokens ("text") one at a time probabalisticsally. Encoder-only LLMs on the other hand take text as their input, tokenize it and generate "embeddings" as their output. Here, we shall walk through a task of generating embeddings from a text snippet.
+While Decoder-only LLMs gained massive popularity via their usage in chatbots, Encoder-only LLMs can be used for a wider variety of tasks. Decoder-only LLMs "generate" tokens ("text") one at a time probabilistically. Encoder-only LLMs on the other hand take text as their input, tokenize it and generate "embeddings" as their output. Here, we shall walk through a task of generating embeddings from a text snippet.
 
 ```mermaid
 flowchart LR;
@@ -40,7 +40,7 @@ and gives the following response:
 [0.052587852, 0.094195396, 0.24439038, 0.104940414, -0.028921358, -0.31591928, -0.1846261, 0.221018, 0.033215445, -0.1382735, -0.14776362, -0.15058714, 0.057725072, -0.23435123, 0.07956805, -0.32156628, -0.08454841, 0.04066637, -0.022215525, 0.19090058, -0.11160703, 0.22258662, -0.06843088, -0.22854735, 0.1033718, -0.38085997, 0.2933312, -0.023215517, 0.20768477, -0.039333045, 0.17192031, -0.14180289]
 ```
 
-## Applications of embeddings
+## Applications of Embeddings
 
 Embeddings are typically used for:
 -  retrieval-augmented generation

diff --git a/docs/genai/04_how_to_guides/03_retrieval_augmented_generation.mdx b/docs/genai/04_how_to_guides/03_retrieval_augmented_generation.mdx
@@ -1,4 +1,4 @@
-# Retrieval-augmented generation
+# Retrieval-augmented Generation
 
 :::tip[Foundations of Research Computing session on RAG]
 For an in-depth overview of RAG and Jupyter notebook examples, please access the source materials used for the 2025 FORC session on RAG at: https://github.com/NYU-RTS/rag-forc-2025

diff --git a/docs/genai/04_how_to_guides/04_batch_inference.md b/docs/genai/04_how_to_guides/04_batch_inference.md
@@ -6,14 +6,14 @@ When immediate results are not needed, for instance in transforming large datase
 Batch processing is only supported for LLMs that can be accessed via the `@vertexai` provider.
 :::
 
-## Collect the prompts
+## Collect the Prompts
 You'll collect the prompts you want to send to the LLM as a newline delimited JSON ([JSONLines](https://jsonlines.org/)) where each line contains a single prompt in the OpenAI format. Here's an example we will be using in this example:
 ```json
 {"custom_id": "request-1", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "gemini-3-flash-preview", "messages": [{"role": "user", "content": "Where is NYU located?"}], "max_tokens": 2048}}
 {"custom_id": "request-2", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "gemini-3-flash-preview", "messages": [{"role": "user", "content": "What resources are available for genAI research at nyu?"}], "max_tokens": 8196}}
 ```
 
-## Upload them to the GCS bucket
+## Upload Them to the GCS Bucket
 We will upload this via the Portkey client to the GCS ([Google Cloud Storage](https://cloud.google.com/storage)) bucket via the following script:
 ```python
 from portkey_ai import Portkey
@@ -50,7 +50,7 @@ This script will print to standard output the location of the uploaded file, lik
 
 ```
 
-## Submit a batch inference job
+## Submit a Batch Inference Job
 
 We are now ready to submit the batch inference job. Here's a script to do so:
 ```python
@@ -78,7 +78,7 @@ print(batch_job)
 
 Upon successful submission, you'll see an `id` field that refers to the job id.
 
-## Query job status
+## Query Job Status
 
 Using the id of the batch inference job, you can query the status by:
 
@@ -111,7 +111,7 @@ The output for a pending job looks like:
 Once the job completes, the `status` field will change from `in_progress` to `completed`.
 
 
-## Retrieving the output
+## Retrieving the Output
 
 The output of the batch inference job can be obtained by:
 ```sh

diff --git a/docs/genai/04_how_to_guides/05_llm_fine_tuning.md b/docs/genai/04_how_to_guides/05_llm_fine_tuning.md
@@ -1,3 +1,3 @@
-# Fine tuning
+# Fine Tuning
 
 Please look into harnessing RAG before attempting to fine-tune a model. For open-weight models, you can use the HPC cluster to perform LoRA fine-tuning as [described here](../../hpc/08_ml_ai_hpc/05_llm_fine_tuning.md).
diff --git a/docs/hpc/01_getting_started/01_intro.mdx b/docs/hpc/01_getting_started/01_intro.mdx
@@ -1,4 +1,4 @@
-# Start here!
+# Start Here!
 
 Welcome to the Torch HPC documentation! If you do not have an HPC account, please proceed to the next section that explains how you may be able to get one.
 

diff --git a/docs/hpc/01_getting_started/02_HPC_Accounts/01_getting_and_renewing_an_account.mdx b/docs/hpc/01_getting_started/02_HPC_Accounts/01_getting_and_renewing_an_account.mdx
@@ -122,7 +122,7 @@ Linux clients are not officially supported, however we were able to successfully
       sudo openconnect -b vpn.nyu.edu
       ```
   - When prompted follow the instructions and provide your netID, password, and authenticate with ('push', 'phone1' or 'sms')
-  This method was tested on few Linux distributions and settings however is not guaranteeed to work in future.
+  This method was tested on few Linux distributions and settings however is not guaranteed to work in future.
   </TabItem>
 </Tabs>
 

diff --git a/docs/hpc/01_getting_started/02_HPC_Accounts/02_walkthrough_request_hpc_account.mdx b/docs/hpc/01_getting_started/02_HPC_Accounts/02_walkthrough_request_hpc_account.mdx
@@ -1,7 +1,7 @@
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
-# How to request an HPC account
+# How to Request an HPC Account
 
 :::tip
 Make sure you don't already have an HPC account. You can check this by attempting to log in to the cluster, according to the instructions at [Connecting to the HPC Cluster](../../02_connecting_to_hpc/01_connecting_to_hpc.mdx).
@@ -36,7 +36,7 @@ You need to be on the NYU VPN to perform this task!
   If the **Request HPC Account** QuickLink is clicked, the following form appears:
   ![Faculty request form](../static/faculty_request_form.png)
 
-  The user’s name will be pre populated, and the forms required fields must be completed (sponsor, reason for request, consent to terms of use).  After clicking “Submit” the chosen sponsor will be notified of the request and provisioning will only occur after approval.
+  The user’s name will be prepopulated, and the forms required fields must be completed (sponsor, reason for request, consent to terms of use).  After clicking “Submit” the chosen sponsor will be notified of the request and provisioning will only occur after approval.
 
   If the **Bulk HPC Account Request** QuickLink is clicked, the following form appears:
   ![Bulk account request form](../static/bulk_acct_req_form.png)

diff --git a/docs/hpc/01_getting_started/02_HPC_Accounts/04_walkthrough_renew_hpc_account.md b/docs/hpc/01_getting_started/02_HPC_Accounts/04_walkthrough_renew_hpc_account.md
@@ -1,4 +1,4 @@
-# Renewing your HPC Account
+# Renewing Your HPC Account
 
 :::info VPN Needed
 You need to be on the NYU VPN to perform this task!

diff --git a/docs/hpc/01_getting_started/03_Slurm_Accounts/01_intro_slurm_accounts.mdx b/docs/hpc/01_getting_started/03_Slurm_Accounts/01_intro_slurm_accounts.mdx
@@ -1,3 +1,3 @@
 # Slurm Accounts
 
-Users are required to have at least one active Slurm acount to submit jobs on the cluster.  You will specify this with the `--account=` flag.  Accounts are associated with an active allocation within a project that PIs manage using the [HPC Project Portal](02_hpc_project_management_portal.mdx).
+Users are required to have at least one active Slurm account to submit jobs on the cluster.  You will specify this with the `--account=` flag.  Accounts are associated with an active allocation within a project that PIs manage using the [HPC Project Portal](02_hpc_project_management_portal.mdx).
diff --git a/docs/hpc/01_getting_started/03_Slurm_Accounts/04_requesting_an_allocation.mdx b/docs/hpc/01_getting_started/03_Slurm_Accounts/04_requesting_an_allocation.mdx
@@ -1,7 +1,7 @@
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
-# Managing allocations for your project
+# Managing Allocations for Your Project
 
 :::info[VPN Needed]
 You need to be connected to [NYU VPN](https://www.nyu.edu/life/information-technology/infrastructure/network-services/vpn.html) to access the HPC project management portal.
@@ -13,10 +13,10 @@ Login to HPC projects portal at [projects.hpc.nyu.edu](https://projects.hpc.nyu.
 From the list of project, click on the project you'd like to submit an allocation request for and you'll see the current details:
 !["PI_One Project" section](../static/PI_one_project.png)
 
-## Current allocations
+## Current Allocations
 Scroll down and you'll reach the Allocations section. This section lists all the allocations associated with this project. All allocations have SLURM accounts associated with them. Allocations that are "Active" will allow you to submit jobs using the SLURM account associated with it.
 
-## Requesting new allocations
+## Requesting New Allocations
 If you scroll down, you'll see "+Request Resource Allocation" button.
 !["PI request allocation" section](../static/PI_request_allocation.png)
 

diff --git a/docs/hpc/01_getting_started/03_Slurm_Accounts/06_adding_publications_grants.mdx b/docs/hpc/01_getting_started/03_Slurm_Accounts/06_adding_publications_grants.mdx
@@ -1,4 +1,4 @@
-# Entering Grants and Publciations for Your Project
+# Entering Grants and Publications for Your Project
 
 ## Acknowledgment Statement for Publications
 The following acknowledgment statement should appear in the publication of any material that resulted from using the NYU IT HPC resources, services, and staff expertise.

diff --git a/docs/hpc/02_connecting_to_hpc/01_connecting_to_hpc.mdx b/docs/hpc/02_connecting_to_hpc/01_connecting_to_hpc.mdx
@@ -35,7 +35,7 @@ Host torch login.torch.hpc.nyu.edu
 ```
 
 :::warning[No SSH Keys on Torch]
-SSH keys are not supported on Torch due to increased security resrtictions.
+SSH keys are not supported on Torch due to increased security restrictions.
 :::
 
 
@@ -99,7 +99,7 @@ You can access the ssh client via Powershell, either by installing [Windows Term
 
 Alternatively, you can install WSL2, and then install Ubuntu or other Linux distribution (for example, from Microsoft Store). You will have a fully functional Ubuntu with terminal and can connect to cluster using instructions provided above for Linux/Mac users. Instructions on WSL installation can be found here: [https://docs.microsoft.com/en-us/windows/wsl/install-win10][wsl installation link]
 
-With [Windowns Terminal](https://apps.microsoft.com/detail/9n0dx20hk701?hl=en-US&gl=US), you can access both the Linux WSL2 shell and the Windows Powershell from the same application.
+With [Windows Terminal](https://apps.microsoft.com/detail/9n0dx20hk701?hl=en-US&gl=US), you can access both the Linux WSL2 shell and the Windows Powershell from the same application.
 
 :::tip
 -   If you are using WSL 2 (Windows subsystem for Linux 2), you may not be able to access internet when Cisco AnyConnect VPN, installed from exe file, is activated. A potential solution: uninstall Cisco AnyConnect and install AnyConnect using Microsoft Store, and then setup new VPN connection using settings described on [IT webpage][install vpn on windows link].

diff --git a/docs/hpc/03_storage/02_data_transfers.md b/docs/hpc/03_storage/02_data_transfers.md
@@ -4,7 +4,7 @@
 Globus is the recommended tool to use for large-volume data transfers due to the efficiency, reliability, security and ease of use. Use other tools only if you really need to. Detailed instructions available at [Globus](./03_globus.md)
 :::
 
-## Data-Transfer nodes
+## Data-Transfer Nodes
 Attached to the NYU HPC cluster Torch, the Torch Data Transfer Node (DTN) are  nodes optimized for transferring data between cluster file systems (e.g. scratch)  and other endpoints outside the NYU HPC clusters, including user laptops and desktops. The gDTNs have 100-Gb/s Ethernet connections to the High Speed Research Network (HSRN) and are connected to the HDR Infiniband fabric of the HPC clusters. More information on the hardware characteristics is available at [Torch spec sheet](../10_spec_sheet.md).
 
 ### Data Transfer Node Access
@@ -26,7 +26,7 @@ logout
 
 ### Linux & Mac Tools
 
-#### `scp` And `rsync`
+#### `scp` and `rsync`
 :::warning
 Please use Data Transfer Nodes (DTNs) with these tools. While one can transfer data while on login nodes, it is  considered a bad practice because it can degrade the node's performance.
 :::
@@ -50,7 +50,7 @@ Globus is the recommended tool to use for large-volume data transfers. It featur
 
 The Globus endpoint for Torch is available at `nyu#torch`. Detailed instructions available at [Globus](./03_globus.md)
 
-### rclone
+### `rclone`
 rclone - rsync for cloud storage, is a command line program to sync files and directories to and from cloud storage systems such as Google Drive, Amazon Drive, S3, B2 etc. rclone is available on DTNs. [Please see the documentation for how to use it.](https://rclone.org/)
 
 ### Open OnDemand (OOD)