Merge pull request #1324 from jasonrandrews/spelling

Spelling fixes

Author: jasonrandrews

.wordlist.txt

@@ -3215,4 +3215,34 @@ pyplot
 scheduler's
 torchvision
 uOps
-unsqueeze
+unsqueeze
+
+ACR
+Abena
+Adoptium
+Amanfo
+Arlo
+Fitbit
+Milvus
+Amanfo
+OCTLA
+OpenAg
+Sysbox
+TCK
+TOSA
+Temurin
+Zhang
+Zilliz
+arrhythmias
+ggerganov
+milvus
+msbuild
+nestybox
+pte
+replug
+sam
+sysbox
+tinyml
+tvOS
+watchOS
+zilliz

content/install-guides/multipass.md

@@ -60,7 +60,7 @@ Install the download using the package command.
 sudo installer -pkg multipass-1.14.1-rc1+mac.14+gf2381bfe9.mac-Darwin.pkg -target /
 ```
 
-The getting started instructions below use the command line interface. If you perfer to use the graphical interface start it from the macOS Launchpad, the initial screen is shown below. You can use the UI to create, start, and stop virtual machines. 
+The getting started instructions below use the command line interface. If you prefer to use the graphical interface start it from the macOS Launchpad, the initial screen is shown below. You can use the UI to create, start, and stop virtual machines. 
 
 ![Connect #center](/install-guides/_images/multipass-gui.png)
 

content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/inference.md

@@ -16,7 +16,7 @@ The inference process involves using a trained model to make predictions on new,
 
 This process allows the model to generalize its learned knowledge to make accurate predictions on new data.
 
-# Runing inference in PyTorch
+# Running inference in PyTorch
 
 You can inference in PyTorch using the previously saved model. To display results, you can use matplotlib. 
 

content/learning-paths/cross-platform/pytorch-digit-classification-training/inference.md

@@ -16,7 +16,7 @@ The inference process involves using a trained model to make predictions on new,
 
 This process allows the model to generalize its learned knowledge to make accurate predictions on new data.
 
-# Runing inference in PyTorch
+# Running inference in PyTorch
 
 You can inference in PyTorch using the previously saved model. To display results you can use matplotlib. 
 

content/learning-paths/laptops-and-desktops/_index.md

@@ -11,29 +11,31 @@ operatingsystems_filter:
 - Android: 2
 - Baremetal: 1
 - ChromeOS: 1
-- Linux: 24
-- macOS: 4
-- Windows: 32
+- Linux: 27
+- macOS: 7
+- Windows: 35
 subjects_filter:
 - CI-CD: 3
 - Containers and Virtualization: 5
 - Migration to Arm: 25
-- Performance and Architecture: 17
+- Performance and Architecture: 18
 subtitle: Create and migrate apps for power efficient performance
 title: Laptops and Desktops
 tools_software_languages_filter:
 - .NET: 12
 - Alacritty: 1
-- Android Studio: 1
+- Android Studio: 2
 - Arm Development Studio: 2
 - Arm64EC: 1
+- assembly: 1
 - C: 2
 - C#: 5
 - C++: 2
 - C/C++: 4
+- CCA: 1
 - Clang: 8
 - CMake: 2
-- Coding: 16
+- Coding: 18
 - CSS: 1
 - Docker: 4
 - GCC: 8
@@ -48,6 +50,7 @@ tools_software_languages_filter:
 - Kubernetes: 1
 - Linux: 1
 - LLVM: 1
+- llvm-mca: 1
 - MTE: 1
 - Neon: 1
 - Neovim: 1
@@ -56,6 +59,7 @@ tools_software_languages_filter:
 - Python: 2
 - Qt: 2
 - Remote.It: 1
+- RME: 1
 - Rust: 1
 - SVE: 1
 - SVE2: 1

content/learning-paths/microcontrollers/_index.md

@@ -8,14 +8,14 @@ key_ip:
 maintopic: true
 operatingsystems_filter:
 - Baremetal: 25
-- Linux: 3
+- Linux: 4
 - macOS: 2
 - RTOS: 10
 - Windows: 2
 subjects_filter:
 - CI-CD: 3
 - Libraries: 3
-- ML: 6
+- ML: 7
 - Performance and Architecture: 11
 - RTOS Fundamentals: 4
 - Security: 2
@@ -25,21 +25,27 @@ title: Microcontrollers
 tools_software_languages_filter:
 - Arduino: 1
 - Arm Compiler for Embedded: 5
+- Arm Compute Library: 1
 - Arm Development Studio: 4
-- Arm Virtual Hardware: 11
+- Arm Virtual Hardware: 12
 - CMSIS: 5
 - CMSIS-Toolbox: 3
 - Coding: 22
-- Fixed Virtual Platform: 8
+- Edge Impulse: 1
+- ExecuTorch: 1
+- Fixed Virtual Platform: 9
 - FVP: 1
-- GCC: 4
+- GCC: 5
 - GitHub: 2
 - IP Explorer: 2
 - Keil: 7
 - Keil MDK: 3
 - MDK: 2
 - MPS3: 1
+- Node.js: 1
 - Paddle: 1
+- Python: 1
+- PyTorch: 1
 - Raspberry Pi: 1
 - RTX: 2
 - STM32: 2

content/learning-paths/microcontrollers/introduction-to-tinyml-on-arm/env-setup-5.md

@@ -28,7 +28,7 @@ The host machine is where you will perform most of your development work, especi
 
 ## Install Python
 
-Python 3 is included in Ubuntu, but some additonal packages are needed. 
+Python 3 is included in Ubuntu, but some additional packages are needed. 
 
 ```console
 sudo apt update
@@ -37,7 +37,7 @@ sudo apt install python-is-python3 gcc g++ make -y
 
 ## Install PyTorch
 
-Create a Python virtual environemnt using Miniconda. 
+Create a Python virtual environment using Miniconda. 
 
 For Arm Linux:
 
@@ -97,7 +97,7 @@ The Edge Impulse CLI tools require Node.js.
 sudo apt install nodejs npm -y
 ```
 
-Confirm `node` is avilable by running: 
+Confirm `node` is available by running: 
 
 ```console
 node -v 

content/learning-paths/microcontrollers/introduction-to-tinyml-on-arm/troubleshooting-6.md

@@ -15,4 +15,4 @@ layout: learningpathall
 - Utilize model quantization techniques to optimize performance on constrained devices like the Grove - Vision AI Module V2.
 - Regularly update your development environment and tools to benefit from the latest improvements in TinyML and edge AI technologies
 
-You've now set up your environment for TinyML development, and tested a PyTorch and ExecuTorch Neural Netrowk.
+You've now set up your environment for TinyML development, and tested a PyTorch and ExecuTorch Neural Network.

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

@@ -9,9 +9,9 @@ maintopic: true
 operatingsystems_filter:
 - Android: 2
 - Baremetal: 1
-- Linux: 100
-- macOS: 6
-- Windows: 9
+- Linux: 105
+- macOS: 9
+- Windows: 12
 pinned_modules:
 - module:
     name: Recommended getting started learning paths
@@ -20,26 +20,28 @@ pinned_modules:
     - migration
 subjects_filter:
 - CI-CD: 3
-- Containers and Virtualization: 24
+- Containers and Virtualization: 25
 - Databases: 15
 - Libraries: 6
-- ML: 10
-- Performance and Architecture: 35
+- ML: 13
+- Performance and Architecture: 36
 - Storage: 1
 - Web: 10
 subtitle: Optimize cloud native apps on Arm for performance and cost
 title: Servers and Cloud Computing
 tools_software_languages_filter:
+- .NET: 1
 - .NET SDK: 1
 - 5G: 1
-- Android Studio: 1
+- Android Studio: 2
 - Ansible: 2
 - Arm Development Studio: 4
 - armclang: 1
 - armie: 1
 - ArmRAL: 1
 - ASP.NET Core: 2
 - Assembly: 4
+- assembly: 1
 - AWS CodeBuild: 1
 - AWS EC2: 1
 - AWS Elastic Container Service (ECS): 1
@@ -52,24 +54,24 @@ tools_software_languages_filter:
 - C++: 3
 - C/C++: 2
 - Capstone: 1
-- CCA: 2
+- CCA: 3
 - Clair: 1
 - Clang: 9
 - ClickBench: 1
 - ClickHouse: 1
 - CloudFormation: 1
 - CMake: 1
-- Coding: 17
+- Coding: 19
 - Django: 1
-- Docker: 14
+- Docker: 15
 - Envoy: 2
 - Flink: 1
 - Fortran: 1
 - FVP: 3
 - GCC: 17
 - gdb: 1
 - Geekbench: 1
-- GenAI: 3
+- GenAI: 4
 - GitHub: 2
 - GitLab: 1
 - Glibc: 1
@@ -84,11 +86,12 @@ tools_software_languages_filter:
 - JAX: 1
 - Kafka: 1
 - Keras: 1
-- Kubernetes: 8
+- Kubernetes: 9
 - Lambda: 1
 - libbpf: 1
 - Linaro Forge: 1
 - LLM: 2
+- llvm-mca: 1
 - LSE: 1
 - MariaDB: 1
 - Memcached: 2
@@ -103,11 +106,12 @@ tools_software_languages_filter:
 - PAPI: 1
 - perf: 3
 - PostgreSQL: 4
-- Python: 9
+- Python: 10
 - PyTorch: 4
+- RAG: 1
 - Redis: 3
 - Remote.It: 2
-- RME: 2
+- RME: 3
 - Rust: 1
 - snappy: 1
 - Snort: 1
@@ -133,6 +137,6 @@ weight: 1
 cloud_service_providers_filter:
 - AWS: 13
 - Google Cloud: 8
-- Microsoft Azure: 7
+- Microsoft Azure: 8
 - Oracle: 2
 ---

content/learning-paths/smartphones-and-mobile/_index.md

@@ -11,14 +11,14 @@ key_ip:
 maintopic: true
 operatingsystems_filter:
 - Android: 21
-- Linux: 16
-- macOS: 6
-- Windows: 5
+- Linux: 19
+- macOS: 9
+- Windows: 8
 subjects_filter:
 - Gaming: 6
 - Graphics: 3
-- ML: 5
-- Performance and Architecture: 22
+- ML: 7
+- Performance and Architecture: 23
 subtitle: Optimize Android apps and build faster games using cutting-edge Arm tech
 title: Smartphones and Mobile
 tools_software_languages_filter:
@@ -27,24 +27,27 @@ tools_software_languages_filter:
 - Android: 2
 - Android NDK: 1
 - Android SDK: 1
-- Android Studio: 6
+- Android Studio: 7
 - Arm Development Studio: 1
 - Arm Mobile Studio: 1
 - Arm Performance Studio: 2
+- assembly: 1
 - Bazel: 1
 - C#: 3
 - C++: 3
 - C/C++: 1
+- CCA: 1
 - Clang: 8
 - CMake: 1
-- Coding: 15
+- Coding: 17
 - Fixed Virtual Platform: 1
 - Frame Advisor: 1
 - GCC: 9
 - GenAI: 1
 - GoogleTest: 1
 - Java: 3
 - Kotlin: 2
+- llvm-mca: 1
 - MediaPipe: 1
 - Memory Bug Report: 1
 - Memory Tagging Extension: 1
@@ -53,6 +56,7 @@ tools_software_languages_filter:
 - NEON: 1
 - Python: 1
 - QEMU: 1
+- RME: 1
 - Rust: 1
 - SDDiskTool: 1
 - SVE2: 1