Merge pull request #101 from arm-education/matt-working

Final formatting

Author: matt-cossins

Projects/Projects/Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.md

@@ -60,7 +60,7 @@ Attempt different environments and objects. For example:
 
 Make your scenes dynamic with particle effects, shadows, physics and motion.
 
-### Beyond the plugin
+**Beyond the plugin**
 
 Want to go further and start experimenting more with Neural Graphics? After building your game with the NSS Unreal plugin, try-out the [Vulkan ML Extensions learning path](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/) to explore how neural inference runs directly through the Vulkan API. This provides lower-level control over ML workloads in the graphics pipeline, and allows for prototyping custom neural effects or optimising performance beyond what’s exposed through the engine plugin. You may also want to explore [fine-tuning your own neural models with the Arm Neural Graphics Model Gym](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/model-training-gym/) and how to [apply different quantization strategies](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/quantize-neural-upscaling-models/) for optimisation of memory and latency.
 

docs/_posts/2025-11-27-Game-Dev-Using-Neural-Graphics-&-Unreal-Engine.md

@@ -62,7 +62,7 @@ full_description: |-
 
   Make your scenes dynamic with particle effects, shadows, physics and motion.
 
-  ### Beyond the plugin
+  **Beyond the plugin**
 
   Want to go further and start experimenting more with Neural Graphics? After building your game with the NSS Unreal plugin, try-out the [Vulkan ML Extensions learning path](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/) to explore how neural inference runs directly through the Vulkan API. This provides lower-level control over ML workloads in the graphics pipeline, and allows for prototyping custom neural effects or optimising performance beyond what’s exposed through the engine plugin. You may also want to explore [fine-tuning your own neural models with the Arm Neural Graphics Model Gym](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/model-training-gym/) and how to [apply different quantization strategies](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/quantize-neural-upscaling-models/) for optimisation of memory and latency.
 
@@ -130,7 +130,7 @@ Attempt different environments and objects. For example:
 
 Make your scenes dynamic with particle effects, shadows, physics and motion.
 
-### Beyond the plugin
+**Beyond the plugin**
 
 Want to go further and start experimenting more with Neural Graphics? After building your game with the NSS Unreal plugin, try-out the [Vulkan ML Extensions learning path](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vulkan-ml-sample/) to explore how neural inference runs directly through the Vulkan API. This provides lower-level control over ML workloads in the graphics pipeline, and allows for prototyping custom neural effects or optimising performance beyond what’s exposed through the engine plugin. You may also want to explore [fine-tuning your own neural models with the Arm Neural Graphics Model Gym](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/model-training-gym/) and how to [apply different quantization strategies](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/quantize-neural-upscaling-models/) for optimisation of memory and latency.