Documentation Fixes (#181)

* Documentation Fixes

* Documentation Fixes

* Documentation Fixes

* Documentation Fixes

* Documentation Fixes

---------

Co-authored-by: Roja Reddy Sareddy <[email protected]>

Author: rsareddy0329

doc/conf.py

@@ -35,7 +35,7 @@ def run_apidoc(app):
     cmd = [
         "--separate",
         "--module-first",
-        "--doc-project=API Reference",
+        "--doc-project=SDK API Reference",
         "-o",
         output_dir,
         module_dir,

doc/index.md

@@ -21,7 +21,7 @@ Training <training>
 Inference <inference>
 CLI Reference <cli_reference>
 Example Notebooks <examples>
-API reference <_apidoc/modules>
+SDK reference <_apidoc/modules>
 ```
 
 
@@ -35,7 +35,7 @@ Version Info - you’re viewing latest documentation for SageMaker Hyperpod CLI
 
 ### Why Choose HyperPod CLI & SDK?
 
-Transform your AI/ML development process with Amazon SageMaker HyperPod CLI and SDK. These tools handle infrastructure management complexities, allowing you to focus on model development and innovation. Weather it's scaling your PyTorch training jobs across thousands of GPUs, deploying production-grade inference endpoints or managing multiple clusters efficiently; the intuitive command-line interface and programmatic control enable you to:
+Transform your AI/ML development process with Amazon SageMaker HyperPod CLI and SDK. These tools handle infrastructure management complexities, allowing you to focus on model development and innovation. Whether it's scaling your PyTorch training jobs across thousands of GPUs, deploying production-grade inference endpoints or managing multiple clusters efficiently; the intuitive command-line interface and programmatic control enable you to:
 - Accelerate development cycles and reduce operational overhead
 - Automate ML workflows while maintaining operational visibility
 - Optimize computing resources across your AI/ML projects

doc/installation.md

@@ -60,26 +60,3 @@ To verify that the installation was successful, run:
 # Verify CLI installation
 hyp --help
 ```
-
-### Install from GitHub
-
-For the latest development version or to contribute to the project, you can install directly from the GitHub repository:
-
-**Clone the SageMaker HyperPod CLI package from GitHub:**
-```bash
-git clone https://github.com/aws/sagemaker-hyperpod-cli.git
-```
-
-**Install the SageMaker HyperPod CLI:**
-```bash
-cd sagemaker-hyperpod-cli && pip install .
-```
-
-**Test if the SageMaker HyperPod CLI is successfully installed by running the following command:**
-```bash
-hyp --help
-```
-
-```{note}
-The GitHub installation provides access to the latest features and bug fixes that may not yet be available in the PyPI release. However, it may be less stable than the official PyPI release.
-```