Jfinks fix links misc (#118)

* Update sparsezoo.mdx

Correcting misc editorial items, fit and finish

* Update enterprise.mdx

* Update and rename diagnotistics-debugging.mdx to diagnostics-debugging.mdx

* Update deepsparse-server.mdx

Missing absolute URL; misc punctuation/grammar

* Update deepsparse-server.mdx

punctuation

* Update benchmarking.mdx

Removed bolt emoji as it was not playing nice with a right sidebar anchor link

Author: jeanniefinks

src/content/products/deepsparse/enterprise.mdx

@@ -12,7 +12,7 @@ index: 2000
   </h1>
   <h3> Sparsity-aware neural network inference engine for GPU-class performance on CPUs </h3>
   <div style="display: flex; flex-wrap: wrap">
-    <a href="https://docs.neuralmagic.com/deepsparse/">
+    <a href="https://docs.neuralmagic.com/products/deepsparse/">
       <img alt="Documentation" src="https://img.shields.io/badge/documentation-darkred?&style=for-the-badge&logo=read-the-docs" height="25" />
     </a>
     <a href="https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ/">
@@ -60,7 +60,7 @@ The DeepSparse Engine is available in two editions:
 
 ## 🧰 Hardware Support and System Requirements
 
-Review [Supported Hardware for the DeepSparse Engine](user-guide/deepsparse-engine/hardware-support) to understand system requirements.
+Review [Supported Hardware for the DeepSparse Engine](/user-guide/deepsparse-engine/hardware-support) to understand system requirements.
 The DeepSparse Engine works natively on Linux; Mac and Windows require running Linux in a Docker or virtual machine; it will not run natively on those operating systems.
 
 The DeepSparse Engine is tested on Python 3.7-3.10, ONNX 1.5.0-1.12.0, ONNX opset version 11+, and manylinux compliant.
@@ -276,13 +276,13 @@ Use Case: A workload that might benefit from the elastic scheduler is one in whi
 
 ## Resources
 #### Libraries
-- [DeepSparse](https://docs.neuralmagic.com/deepsparse/)
+- [DeepSparse](https://docs.neuralmagic.com/products/deepsparse/)
 
-- [SparseML](https://docs.neuralmagic.com/sparseml/)
+- [SparseML](https://docs.neuralmagic.com/products/sparseml/)
 
-- [SparseZoo](https://docs.neuralmagic.com/sparsezoo/)
+- [SparseZoo](https://docs.neuralmagic.com/products/sparsezoo/)
 
-- [Sparsify](https://docs.neuralmagic.com/sparsify/)
+- [Sparsify](https://docs.neuralmagic.com/products/sparsify/)
 
 
 #### Versions

src/content/products/sparsezoo.mdx

@@ -10,7 +10,7 @@ index: 4000
 ### Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
 
 <p>
-  <a href="https://docs.neuralmagic.com/sparsezoo">
+  <a href="https://docs.neuralmagic.com/products/sparsezoo">
     <img alt="Documentation" src="https://img.shields.io/badge/documentation-darkred?&style=for-the-badge&logo=read-the-docs" height={25} />
   </a>
   <a href="https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ/">
@@ -68,7 +68,7 @@ See the [SparseZoo Installation Page](/get-started/install/sparsezoo) for instal
 ## Quick Tour
 
 The SparseZoo Python API enables you to search and download sparsified models. Code examples are given below.
-We encourage users to load SparseZoo models by copying a stub directly from a [model page]((https://sparsezoo.neuralmagic.com/)).
+We encourage users to load SparseZoo models by copying a stub directly from a [model page](https://sparsezoo.neuralmagic.com/).
 
 ### Introduction to Model Class Object
 
@@ -374,13 +374,11 @@ sparsezoo search --domain cv --sub-domain classification \
 --architecture resnet_v1 --sub-architecture 50
 ```
 
-For a more in-depth read, check out [SparseZoo documentation.](https://docs.neuralmagic.com/sparsezoo/)
-
 ## Resources
 
 ### Learning More
 
-- Documentation: [SparseML,](https://docs.neuralmagic.com/sparseml/) [SparseZoo,](https://docs.neuralmagic.com/sparsezoo/) [Sparsify,](https://docs.neuralmagic.com/sparsify/) [DeepSparse](https://docs.neuralmagic.com/deepsparse/)
+- Documentation: [SparseML,](https://docs.neuralmagic.com/products/sparseml/) [SparseZoo,](https://docs.neuralmagic.com/products/sparsezoo/) [Sparsify,](https://docs.neuralmagic.com/products/sparsify/) [DeepSparse](https://docs.neuralmagic.com/products/deepsparse/)
 - Neural Magic: [Blog,](https://www.neuralmagic.com/blog/) [Resources](https://www.neuralmagic.com/resources/)
 
 ### Release History

src/content/use-cases/deploying-deepsparse/deepsparse-server.mdx

@@ -7,7 +7,7 @@ index: 1000
 
 # Deploying with the DeepSparse Server
 
-This section explains how to deploy with DeepSparse Server
+This section explains how to deploy with DeepSparse Server.
 
 ## Installation Requirements
 
@@ -18,7 +18,7 @@ This section requires the [DeepSparse Server Install](/get-started/install/deeps
 The DeepSparse Server allows you to serve models and `Pipelines` for deployment in HTTP. The server runs on top of the popular FastAPI web framework and Uvicorn web server.
 The server supports any task from DeepSparse, such as `Pipelines` including NLP, image classification, and object detection tasks.
 An updated list of available tasks can be found
-[here](https://github.com/neuralmagic/deepsparse/blob/main/src/deepsparse/PIPELINES.md)
+[on the DeepSparse Pipelines Introduction](https://github.com/neuralmagic/deepsparse/blob/main/src/deepsparse/PIPELINES.md).
 
 Run the help CLI to lookup the available arguments.
 
@@ -146,4 +146,4 @@ All you need is to add `/docs` at the end of your host URL:
 
     localhost:5543/docs
 
-![alt text](./img/swagger_ui.png)
+![Swagger UI For Viewing Model Pipeline](https://github.com/neuralmagic/deepsparse/blob/main/src/deepsparse/server/img/swagger_ui.png)

src/content/user-guide/deepsparse-engine/benchmarking.mdx

@@ -113,7 +113,7 @@ To run a sparse quantized INT8 6-layer BERT at batch size 1 for latency:
 deepsparse.benchmark zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/pruned_quant_6layers-aggressive_96 --batch_size 1 --scenario sync
 ```
 
-## ⚡ Inference Scenarios
+## Inference Scenarios
 
 ### Synchronous (Single-stream) Scenario
 

src/content/user-guide/deepsparse-engine/diagnotistics-debugging.mdx renamed to src/content/user-guide/deepsparse-engine/diagnostics-debugging.mdx

@@ -185,7 +185,7 @@ Locating  `== NM Execution Provider supports` shows how many subgraphs we compil
 
 ### Full Example Log, Verbose Level = diagnose
 
-The following is an example log with `NM_LOGGING_LEVEL=diagnose` running a super_resolution network, where we only support running 70% of it. Different portions of the log are explained in [Parsing an Example Log.](/user-guide/deepsparse-engine/diagnotistics-debugging#parsing-an-example-log)
+The following is an example log with `NM_LOGGING_LEVEL=diagnose` running a super_resolution network, where we only support running 70% of it. Different portions of the log are explained in [Parsing an Example Log.](/user-guide/deepsparse-engine/diagnostics-debugging#parsing-an-example-log)
 
 ```text
 onnx_filename : test-models/cv-resolution/super_resolution/none-bsd300-onnx-repo/model.onnx