Update INSTRUCTION.md

INSTRUCTION.md

@@ -147,7 +147,7 @@ require considerable refactoring, since every supported material suddenly needs
 its own kernel.
 * [*Open Image AI Denoiser* ](https://github.com/OpenImageDenoise/oidn) Open Image Denoiser is an image denoiser which works by applying a filter on Monte-Carlo-based pathtracer output. The denoiser runs on the CPU and takes in path tracer output from 1spp to beyond. In order to get full credit for this, you must pass in at least one extra buffer along with the [raw "beauty" buffer](https://github.com/OpenImageDenoise/oidn#open-image-denoise-overview). **Ex:** Beauty + Normals.
   * Part of this extra credit is figuring out where the filter should be called, and how you should manage the data for the filter step.
-  * It is important to note that integrating this is not as simple as it may seem at first glance. Library integration, buffer creation, device compatibility, and more are all real problems which will appear, and it may be hard to debug them. Please only try this if you have finished the core assignment early and would like extra points,
+  * It is important to note that integrating this is not as simple as it may seem at first glance. Library integration, buffer creation, device compatibility, and more are all real problems which will appear, and it may be hard to debug them. Please only try this if you have finished the core assignment early and would like extra points.
 
 This 'extra features' list is not comprehensive. If you have a particular idea
 you would like to implement (e.g. acceleration structures, etc.), please