Merge pull request #2717 from jasonrandrews/review

spelling and tags

Author: jasonrandrews

.wordlist.txt

@@ -5439,4 +5439,38 @@ snapshotter
 unmounting
 vnd
 xqcqqYHrjZ
-ztPjILBCbFEqnVlbvjUpM
+ztPjILBCbFEqnVlbvjUpM
+ArmKleidiAI
+DirectML
+DotProd
+GIMPLE
+GemV
+LinkTimeOptimization
+MIGraphX
+MLAS
+MLSA
+MOPA
+MTK
+MatMul
+MlasConv
+MlasDynamicQGemmBatch
+MlasGemmBatch
+Modescope
+Nascimento
+ParallemOpenMP
+Partitioner
+QNN
+SPECint
+SequentialExecutor
+Specint
+agentically
+denoises
+discoverable
+gentoo
+imatmul
+jenkins
+mopa
+perfetto
+translational
+tunable
+vlx

content/learning-paths/mobile-graphics-and-gaming/_index.md

@@ -9,15 +9,15 @@ key_ip:
 - Mali
 maintopic: true
 operatingsystems_filter:
-- Android: 33
-- Linux: 33
-- macOS: 14
+- Android: 35
+- Linux: 35
+- macOS: 15
 - Windows: 14
 subjects_filter:
 - Gaming: 6
 - Graphics: 6
-- ML: 16
-- Performance and Architecture: 35
+- ML: 17
+- Performance and Architecture: 36
 subtitle: Optimize Android apps and build faster games using cutting-edge Arm tech
 title: Mobile, Graphics, and Gaming
 tools_software_languages_filter:
@@ -35,20 +35,21 @@ tools_software_languages_filter:
 - Bazel: 1
 - C: 5
 - C#: 3
+- C++: 1
 - CCA: 1
 - Clang: 12
 - CMake: 2
-- CPP: 14
+- CPP: 15
 - Docker: 1
-- ExecuTorch: 3
+- ExecuTorch: 4
 - Frame Advisor: 1
 - GCC: 12
 - Generative AI: 2
 - Godot: 1
 - Google Pixel 8: 1
 - Google Test: 1
 - Halide: 1
-- Hugging Face: 5
+- Hugging Face: 6
 - Java: 6
 - Jupyter Notebook: 1
 - KleidiAI: 2
@@ -62,8 +63,9 @@ tools_software_languages_filter:
 - MTE: 2
 - NEON: 1
 - ONNX Runtime: 1
+- ONNX runtime: 1
 - OpenGL ES: 1
-- Python: 7
+- Python: 8
 - PyTorch: 2
 - QEMU: 1
 - RenderDoc: 1

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

@@ -87,7 +87,7 @@ tools_software_languages_filter:
 - Cloud Build: 1
 - CMake: 1
 - conda: 1
-- Confidential containers: 1
+- Confidential Containers: 1
 - Couchbase: 1
 - CPP: 15
 - cqlsh: 1
@@ -142,7 +142,7 @@ tools_software_languages_filter:
 - Jenkins: 1
 - JMH: 1
 - Kafka: 2
-- Kata containers: 1
+- Kata Containers: 1
 - KEDA: 1
 - Kedify: 1
 - Keras: 2

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

@@ -9,7 +9,7 @@ learning_objectives:
   - Explain how the Arm MCP Server enables AI-driven x86-to-Arm migration workflows
   - Use AI-assisted checks to inspect Docker images for Arm compatibility
   - Automate the migration of x86-specific C++ code to Arm using structured prompt files
-  - Validate and run a migrated Dockerized C++ application on Arm-based systems
+  - Validate and run a migrated C++ application using Docker on Arm-based systems
   - Configure AI agents to reuse the same migration workflow across different tools
 
 prerequisites:

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

@@ -3,7 +3,7 @@ title: Deploy ClickHouse on Google Cloud C4A Arm virtual machines
 
 minutes_to_complete: 30
 
-who_is_this_for: This is an introductory topic for developers deploying and optimizing ClickHouse on Arm-based Linux environments using Google Cloud C4A virtual machines powered by Axion processors, to evaluate ClickHouse performance and behaviour on Arm-based infrastructure.
+who_is_this_for: This is an introductory topic for developers deploying and optimizing ClickHouse on Arm-based Linux environments using Google Cloud C4A virtual machines powered by Axion processors, to evaluate ClickHouse performance and behavior on Arm-based infrastructure.
 
 learning_objectives:
   - Provision an Arm-based SUSE SLES virtual machine on Google Cloud using C4A instances powered by Axion processors