Merge to production #829
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Merge to production #829
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This path builds on https://learn.arm.com/learning-paths/cross-platform/dynamic-memory-allocator/ by using the Memory Tagging Extension (MTE) to prevent common memory problems in the memory allocator. Full source is included in this path so readers don't have to copy it from the previous path, however they will need to understand the basic design of the allocator to understand the changes needed to support MTE. So the full "journey" might be: * The memory allocator path (https://learn.arm.com/learning-paths/cross-platform/dynamic-memory-allocator/) * The stack overflows path (https://learn.arm.com/learning-paths/servers-and-cloud-computing/exploiting-stack-buffer-overflow-aarch64/) * The intro to MTE path (https://learn.arm.com/learning-paths/smartphones-and-mobile/mte/) * This memory tagged allocator path The binary runs under qemu-user, so it is possible to follow the path on current AArch64 hardware or non-AArch64 hardware. I'm sure we can tie this to other MTE resources but I've left the links empty as you'll probably have a better idea of what to put there.
…afrc_fixes AFRC Learning Path fixes
Create a learning path for making a ChatGPT voice bot on a Raspberry Pi
review Raspberry Pi chatbot Learning Path
Memory Tagged (MTE) Allocator Learning Path
Learning Path Review Update
Update TF-M learning path.
editorial amends
editorial amends
URL corrected
editorial amends
review Sysreport Learning Path
editorial amends
editorial amends
Unity LP series_editorial review complete_KB to sign off
RPi chatbot_editorial review complete_KB to sign off
RPI interrupts_editorial review complete_KB to sign off
Adding Tagging to a Dynamic Memory Allocator_editorial review complete_KB to sign off
Update pytorch-nlp-hf.md
.NET MAUI_editorial review complete_KB to sign off
spelling and link fixes
Sys report_editorial review complete_KB to sign off
IP explorer install guide update_editorial review complete
fix incorrect subjects
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