spelling and link fixes

.wordlist.txt

@@ -3508,4 +3508,54 @@ vLLM
 veraison
 verifier
 vllm
-observables
+observables
+APL
+ARchive
+AllowUSBDebugging
+CalcThreadProc
+DWORD
+Daytona
+Fraunhofer
+HIWORD
+IEC
+ITU
+Kibana
+Koleini
+LOWORD
+LPVOID
+Masoud
+OpenMP
+VVC
+VVenC
+ViT
+WINAPI
+Willen
+applyRotation
+boto
+cblas
+daytona
+dgemm
+dotfiles
+dumpbin
+fraunhoferhhi
+gh
+gif
+grafana
+installable
+kibana
+pointStride
+prometheus
+refx
+refy
+refz
+rotMatrix
+sbt
+scala
+spherePoints
+startPoint
+terrafom
+threadCount
+threadNum
+useAPL
+vvenc
+workspaces

content/install-guides/rust.md

@@ -52,7 +52,7 @@ If you see a different result, you are not using an Arm computer running 64-bit
 Use the `apt` command to install the required software packages on any Debian-based Linux distribution, including Ubuntu.
 
 ```bash { target="ubuntu:latest" }
-sudo apt update -y
+sudo apt update 
 sudo apt install -y curl gcc
 ```
 

content/install-guides/sbt.md

@@ -27,7 +27,7 @@ weight: 1
 {{% notice Note %}}
 When the project was created, it was called *Simple Build Tool*, but quickly evolved to *sbt*. Some have incorrectly redefined it to *Scala Build Tool*, which does not reflect the fact that sbt works with Java-only projects. 
 
-It is now called *sbt* in all lowercase letters, which emphasises the fact that it is not an acronym.{{% /notice %}}
+It is now called *sbt* in all lowercase letters, which emphasizes the fact that it is not an acronym.{{% /notice %}}
 
 ## What should I consider before installing sbt on Arm?
 

content/learning-paths/cross-platform/daytona/intro.md

@@ -27,7 +27,7 @@ You can use Daytona to create development environments on the following setups:
 
 ## Daytona terminology
 
-Taking time to learn some the basic Daytona defintions will enable you to get started easily. You can find some of these terms described below. 
+Taking time to learn some the basic Daytona definitions will enable you to get started easily. You can find some of these terms described below. 
 
 #### Git Providers
 

content/learning-paths/cross-platform/windowsperf_sampling_cpython_spe/overview.md

@@ -1,6 +1,6 @@
 ---
 layout: learningpathall
-title: Overview of Arm Statistical Profiling Extenstion 
+title: Overview of Arm Statistical Profiling Extension 
 weight: 2
 ---
 

content/learning-paths/servers-and-cloud-computing/mysql_tune/kernel_comp_lib.md

@@ -97,7 +97,7 @@ Typically, only the number of huge pages needs to be configured. However, for mo
 
 ##  Compiler Considerations
 
-The easiest way to gain performance is to use the latest version of GCC. Aside from that, the flags `-mcpu` and `-flto` can be used to potentially gain additional performance. Usage of these flags is explained in the [Migrating C/C++ applications](/learning-paths/servers-and-cloud-computing/migration/c-c++) section of the [Migrating applications to Arm servers](/learning-paths/servers-and-cloud-computing/migration/) learning path.
+The easiest way to gain performance is to use the latest version of GCC. Aside from that, the flags `-mcpu` and `-flto` can be used to potentially gain additional performance. Usage of these flags is explained in the [Migrating C/C++ applications](/learning-paths/servers-and-cloud-computing/migration/c/) section of the [Migrating applications to Arm servers](/learning-paths/servers-and-cloud-computing/migration/) learning path.
 
 ##  OpenSSL Considerations
 

content/learning-paths/servers-and-cloud-computing/nginx_tune/kernel_comp_lib.md

@@ -63,7 +63,7 @@ These settings open up the network stack to make sure it is not a bottleneck.
 
 ##  Compiler Considerations
 
-The easiest way to gain performance is to use the latest version of GCC. Aside from that, the flag `-mcpu` can be used to potentially gain additional performance. Usage of this flag is explained in the [Migrating C/C++ applications](/learning-paths/servers-and-cloud-computing/migration/c-c++) section of the [Migrating applications to Arm servers](/learning-paths/servers-and-cloud-computing/migration/) learning path.
+The easiest way to gain performance is to use the latest version of GCC. Aside from that, the flag `-mcpu` can be used to potentially gain additional performance. Usage of this flag is explained in the [Migrating C/C++ applications](/learning-paths/servers-and-cloud-computing/migration/c/) section of the [Migrating applications to Arm servers](/learning-paths/servers-and-cloud-computing/migration/) learning path.
 
 If you need to understand how to configure a build of Nginx. Please review the [build Nginx from source](/learning-paths/servers-and-cloud-computing/nginx/build_from_source) section of the [Learn to deploy Nginx learning path](/learning-paths/servers-and-cloud-computing/nginx/).
 

content/learning-paths/servers-and-cloud-computing/postgresql_tune/kernel_comp_lib.md

@@ -151,7 +151,7 @@ Setting this as high as 80 can improve performance.
 
 ##  Compiler Considerations
 
-The easiest way to gain performance is to use the latest version of GCC. Aside from that, the flags `-mcpu` and `-flto` can be used to potentially gain additional performance. Usage of these flags is explained in the [Migrating C/C++ applications](/learning-paths/servers-and-cloud-computing/migration/c-c++) section of the [Migrating applications to Arm servers](/learning-paths/servers-and-cloud-computing/migration/) learning path.
+The easiest way to gain performance is to use the latest version of GCC. Aside from that, the flags `-mcpu` and `-flto` can be used to potentially gain additional performance. Usage of these flags is explained in the [Migrating C/C++ applications](/learning-paths/servers-and-cloud-computing/migration/c/) section of the [Migrating applications to Arm servers](/learning-paths/servers-and-cloud-computing/migration/) learning path.
 
 ##  OpenSSL Considerations
 

content/learning-paths/servers-and-cloud-computing/redis_tune/kernel_comp_lib.md

@@ -69,7 +69,7 @@ These settings open up the network stack to make sure it is not a bottleneck.
 
 ##  Compiler Considerations
 
-The easiest way to gain performance is to use the latest version of GCC. Aside from that, the flag `-mcpu` and `-flto` can be used to potentially gain additional performance. Usage of these flags is explained in the [Migrating C/C++ applications](/learning-paths/servers-and-cloud-computing/migration/c-c++) section of the [Migrating applications to Arm servers](/learning-paths/servers-and-cloud-computing/migration/) learning path.
+The easiest way to gain performance is to use the latest version of GCC. Aside from that, the flag `-mcpu` and `-flto` can be used to potentially gain additional performance. Usage of these flags is explained in the [Migrating C/C++ applications](/learning-paths/servers-and-cloud-computing/migration/c/) section of the [Migrating applications to Arm servers](/learning-paths/servers-and-cloud-computing/migration/) learning path.
 
 If you need to understand how to configure a build of Redis. Please review the [build Redis from source](https://redis.io/docs/getting-started/installation/install-redis-from-source/).
 

content/learning-paths/servers-and-cloud-computing/sentiment-analysis-eks/_index.md

@@ -1,7 +1,6 @@
 ---
 title: Perform Sentiment Analysis on X on Arm-based EKS clusters
 
-
 minutes_to_complete: 60
 
 who_is_this_for: This Learning Path is for software developers who want to build an end-to-end ML sentiment analysis solution on an Arm-based Amazon EKS cluster to analyze live posts on X .

content/learning-paths/servers-and-cloud-computing/sentiment-analysis-eks/sentiment-analysis.md

@@ -82,7 +82,7 @@ kubectl create clusterrolebinding spark-role --clusterrole=edit --serviceaccount
 Navigate to the `sentiment_analysis` folder to create a JAR file () file for the sentiment analyzer.
 
 {{% notice Note %}}
-JAR is an anacronym for Java ARchive, and is a compressed archive file format that contains Java related-files and metadata.{{% /notice %}}
+JAR is an acronym for Java ARchive, and is a compressed archive file format that contains Java related-files and metadata.{{% /notice %}}
 
 You will need `sbt` installed. If you are running Ubuntu, you can install it with:
 

content/learning-paths/smartphones-and-mobile/build-android-selfie-app-using-mediapipe-multimodality/4-introduce-mediapipe.md

@@ -101,7 +101,7 @@ tasks.named("preBuild") {
 1. Sync the project again. 
 
 {{% notice Tip %}}
-See the previous section [Set up the Development Environment](2-app-scaffolding.md#enable-view-binding), as a reminder on how to do this.
+See the previous section [Set up the Development Environment](../2-app-scaffolding#enable-view-binding), as a reminder on how to do this.
 {{% /notice %}}
 
 2. Now you should see both model asset bundles in your `assets` directory, as shown below: