# Tag: Generative AI

## Learning paths

- [Build a RAG application using Zilliz Cloud on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/milvus-rag/)
- [Accelerate Generative AI workloads using KleidiAI](https://learn.arm.com/learning-paths/cross-platform/kleidiai-explainer/)
- [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/)
- [Deploy ModelScope FunASR Model on Arm Servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/funasr/)
- [Run vLLM inference with INT4 quantization on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration/)
- [Run distributed inference with llama.cpp on Arm-based AWS Graviton4 instances](https://learn.arm.com/learning-paths/servers-and-cloud-computing/distributed-inference-with-llama-cpp/)
- [Run an LLM chatbot with rtp-llm on Arm-based servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/rtp-llm/)
- [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/)
- [Deploy DeepSeek-R1 on Arm Servers with llama.cpp](https://learn.arm.com/learning-paths/servers-and-cloud-computing/deepseek-cpu/)
- [Build and run vLLM on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm/)
- [Add Arm nodes to your GKE cluster using a multi-architecture Ollama container image](https://learn.arm.com/learning-paths/servers-and-cloud-computing/multiarch_ollama_on_gke/)
- [Run optimized LLMs from the Arm AI Portal on Arm Neoverse-based instances](https://learn.arm.com/learning-paths/servers-and-cloud-computing/ai-portal-cloud-text-to-text/)
- [Run optimized TinySD image generation from the Arm AI Portal on Arm-powered Android devices](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-portal-tinysd-android/)
- [Run an optimized text-to-speech model from the Arm AI Portal on an Arm Neoverse-based instance](https://learn.arm.com/learning-paths/servers-and-cloud-computing/ai-portal-text-to-speech/)
- [Run Llama 3 on a Raspberry Pi 5 using ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/rpi-llama3/)
- [Run a local LLM chatbot on a Raspberry Pi 5](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/llama-python-cpu/)
- [Run a local AI agent with Ollama to visualize CPU orchestration on Arm](https://learn.arm.com/learning-paths/cross-platform/ai-agent-cpu-orchestration/)