Update getting started - index.md (#1237)

* Update index.md

Improved introductory statements for clarity and tone
Standardized headings and bullet list formatting
Enhanced quickstart explanations with precise scope and expected outcomes

Signed-off-by: Arham Mehta <[email protected]>

* Update docs/get-started/index.md

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Signed-off-by: Arham Mehta <[email protected]>

* Update docs/get-started/index.md

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Signed-off-by: Arham Mehta <[email protected]>

* Update docs/get-started/index.md

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Signed-off-by: Arham Mehta <[email protected]>

* Update docs/get-started/index.md

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Signed-off-by: L.B. <[email protected]>

* Update docs/get-started/index.md

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Signed-off-by: L.B. <[email protected]>

---------

Signed-off-by: Arham Mehta <[email protected]>
Signed-off-by: L.B. <[email protected]>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Co-authored-by: L.B. <[email protected]>

Author: 3 people

docs/get-started/index.md

@@ -13,48 +13,53 @@ modality: "universal"
 
 ## Before You Start
 
-Welcome to NeMo Curator! This toolkit enables you to curate large-scale datasets for training generative AI models across text, image, and video modalities.
+Welcome to NeMo Curator! This framework streamlines the curation and pre-processing of large-scale datasets for training generative AI models across text, image, audio and video modalities.
 
 **Who are these quickstarts for?**
-- Data scientists and ML engineers who want to quickly test NeMo Curator's capabilities
-- Users who want to run their first curation pipeline with minimal setup
-- Anyone exploring NeMo Curator before committing to a full production deployment
+- AI/ML engineers and researchers who want to quickly test NeMo Curator's capabilities
+- Users looking to run an initial curation pipeline with minimal setup
+- Individuals exploring NeMo Curator prior to a full production deployment
 
 **What you'll find here:**
-Each quickstart below gets you up and running with a specific modality in under 30 minutes. They include basic installation, sample data, and a working example.
+Each quickstart enables you to get started with a specific domain in less than 30 minutes. Quickstarts provide basic installation steps, sample data, and a working example.
 
 :::{tip}
-For production deployments, cluster configurations, or detailed system requirements, see the [Setup & Deployment documentation](admin-overview).
+For production deployments, cluster configurations, or detailed system requirements, refer to the [Setup & Deployment documentation](admin-overview).
 :::
 
 ---
 
 ## Modality Quickstarts
 
-The following quickstarts enable you to test out NeMo Curator for a given modality.
+The following quickstarts allow you to test NeMo Curator using a selected data modality.
 
 ::::{grid} 1 1 1 2
 :gutter: 1 1 1 2
 
 :::{grid-item-card} {octicon}`typography;1.5em;sd-mr-1` Text Curation Quickstart
 :link: gs-text
 :link-type: ref
-Set up your environment and run your first text curation pipeline with NeMo Curator. Learn how to install the toolkit, prepare your data, and use the pipeline architecture with modular stages to curate large-scale text datasets efficiently.
+Set up your environment and execute your first text curation pipeline with NeMo Curator. Instructions cover installation, data preparation, and use of the modular pipeline architecture for efficient large-scale text dataset curation.
 
 :::
 
 :::{grid-item-card} {octicon}`image;1.5em;sd-mr-1` Image Curation Quickstart
 :link: gs-image
 :link-type: ref
-Set up your environment and install NeMo Curator's image modules. Learn about prerequisites, installation methods, and how to use the toolkit to curate large-scale image-text datasets for generative model training.
+Set up your environment and install the NeMo Curator image modules. The quickstart explains prerequisites, installation methods, and the use of the framework to curate large-scale image-text datasets for generative AI model training.
 
 :::
 
 :::{grid-item-card} {octicon}`video;1.5em;sd-mr-1` Video Curation Quickstart
 :link: gs-video
 :link-type: ref
-Set up your environment and run your first video curation pipeline. Learn about prerequisites, installation options, and how to split, encode, embed, and export curated clips at scale.
+Set up your environment and execute your first video curation pipeline. The instructions include prerequisites, installation options, and guidance on splitting, encoding, embedding, and exporting curated video clips at scale.
 
 :::
 
+:::{grid-item-card} {octicon}`audio;1.5em;sd-mr-1` Audio Curation Quickstart
+:link: gs-audio
+:link-type: ref
+Set up your environment and execute your first audio curation pipeline with NeMo Curator. Instructions cover installation, data preparation, and use of the modular pipeline architecture for efficient large-scale audio speech dataset curation.
+
 ::::