Update Hugging Face Learning Paths report [auto]

Author: github-actions[bot]

reports/hugging-face/huggingface-learning-paths.md

@@ -4,26 +4,26 @@ Total Hugging Face Learning Paths: 23
 
 | Title | Category | CSP |
 |-------|----------|-----|
+| [Fine-tune PyTorch models on DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/pytorch-finetuning-on-spark) | laptops-and-desktops |  |
+| [Build a RAG pipeline on Arm-based NVIDIA DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/dgx_spark_rag) | laptops-and-desktops |  |
+| [Generate audio with Stable Audio Open Small on LiteRT](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-open-small-with-lite-rt) | mobile-graphics-and-gaming |  |
+| [LLM inference on Android with KleidiAI, MediaPipe, and XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/kleidiai-on-android-with-mediapipe-and-xnnpack) | mobile-graphics-and-gaming |  |
+| [Generate audio with Stable Audio Open Small using ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-with-executorch) | mobile-graphics-and-gaming |  |
+| [Profile the Performance of AI and ML Mobile Applications on Arm](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/profiling-ml-on-arm) | mobile-graphics-and-gaming |  |
+| [Build an Android chat app with Llama, KleidiAI, ExecuTorch, and XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-llama3-chat-android-app-using-executorch-and-xnnpack) | mobile-graphics-and-gaming |  |
+| [Build an Android chat application with ONNX Runtime API](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-android-chat-app-using-onnxruntime) | mobile-graphics-and-gaming |  |
+| [Deploy Arcee AFM-4.5B on Arm-based Google Cloud Axion with Llama.cpp](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arcee-foundation-model-on-gcp) | servers-and-cloud-computing | Google Cloud |
+| [Accelerate Natural Language Processing (NLP) models from Hugging Face on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/benchmark-nlp) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
 | [Deploy Arcee AFM-4.5B on Arm-based AWS Graviton4 with Llama.cpp](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arcee-foundation-model-on-aws) | servers-and-cloud-computing | AWS |
-| [Build and Run vLLM on Arm Servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
+| [Run a Large Language Model (LLM) chatbot with PyTorch using KleidiAI on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pytorch-llama) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
+| [Run an LLM chatbot with rtp-llm on Arm-based servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/rtp-llm) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
 | [Deploy a Large Language Model (LLM) chatbot with llama.cpp using KleidiAI on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/llama-cpu) | servers-and-cloud-computing | AWS |
+| [Build and Run vLLM on Arm Servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
 | [Accelerate Whisper on Arm with Hugging Face Transformers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/whisper) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
-| [Deploy Arcee AFM-4.5B on Arm-based Google Cloud Axion with Llama.cpp](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arcee-foundation-model-on-gcp) | servers-and-cloud-computing | Google Cloud |
 | [Run vLLM inference with INT4 quantization on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
+| [Deploy a RAG-based Chatbot with llama-cpp-python using KleidiAI on Google Axion processors](https://learn.arm.com/learning-paths/servers-and-cloud-computing/rag) | servers-and-cloud-computing | Google Cloud |
 | [Run a Natural Language Processing (NLP) model from Hugging Face on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/nlp-hugging-face) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
-| [Run an LLM chatbot with rtp-llm on Arm-based servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/rtp-llm) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
-| [Run a Large Language Model (LLM) chatbot with PyTorch using KleidiAI on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pytorch-llama) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
 | [Build a RAG application using Zilliz Cloud on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/milvus-rag) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
-| [Accelerate Natural Language Processing (NLP) models from Hugging Face on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/benchmark-nlp) | servers-and-cloud-computing | AWS, Microsoft Azure, Google Cloud, Oracle |
-| [Deploy a RAG-based Chatbot with llama-cpp-python using KleidiAI on Google Axion processors](https://learn.arm.com/learning-paths/servers-and-cloud-computing/rag) | servers-and-cloud-computing | Google Cloud |
+| [Run a local LLM chatbot on a Raspberry Pi 5](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/llama-python-cpu) | embedded-and-microcontrollers |  |
 | [Run a Computer Vision Model on a Himax Microcontroller](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax) | embedded-and-microcontrollers |  |
 | [Run Llama 3 on a Raspberry Pi 5 using ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/rpi-llama3) | embedded-and-microcontrollers |  |
-| [Run a local LLM chatbot on a Raspberry Pi 5](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/llama-python-cpu) | embedded-and-microcontrollers |  |
-| [Generate audio with Stable Audio Open Small on LiteRT](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-open-small-with-lite-rt) | mobile-graphics-and-gaming |  |
-| [Build an Android chat app with Llama, KleidiAI, ExecuTorch, and XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-llama3-chat-android-app-using-executorch-and-xnnpack) | mobile-graphics-and-gaming |  |
-| [Profile the Performance of AI and ML Mobile Applications on Arm](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/profiling-ml-on-arm) | mobile-graphics-and-gaming |  |
-| [LLM inference on Android with KleidiAI, MediaPipe, and XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/kleidiai-on-android-with-mediapipe-and-xnnpack) | mobile-graphics-and-gaming |  |
-| [Generate audio with Stable Audio Open Small using ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-with-executorch) | mobile-graphics-and-gaming |  |
-| [Build an Android chat application with ONNX Runtime API](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-android-chat-app-using-onnxruntime) | mobile-graphics-and-gaming |  |
-| [Build a RAG pipeline on Arm-based NVIDIA DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/dgx_spark_rag) | laptops-and-desktops |  |
-| [Fine-tune PyTorch models on DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/pytorch-finetuning-on-spark) | laptops-and-desktops |  |