Artificial Intelligence
This section introduces AI applications, including the RKNN and RKLLM toolchains, the RKNN Model Zoo examples, and common model deployment workflows.
📄️ RKNN Installation
Start the journey of efficient inference of AI models on Rockchip NPU through RKNN installation, and feel the perfect fusion of technology and humanities
📄️ RKLLM Installation
Start the journey of efficient deployment of intelligent language models with RKLLM installation, bringing technology and human intelligence together
📄️ RKLLM Usage
Efficient hardware acceleration of large language models using RKLLM technology for a new chapter in intelligent dialogue
📄️ RKNN Quick Start
📄️ RKNN Toolkit2 PC
Explore simulated inference of AI models with the RKNN toolkit and experience the efficiency and precision of intelligent image segmentation
📄️ RKNN Toolkit Lite2 YOLOv5
📄️ RKNN Toolkit Lite2 YOLOv8
Deploying YOLOv8 on the RK3588 board side opens a new era of intelligent target detection, allowing technology and humanistic care to merge perfectly in accurate identification
📄️ RKNN Ultralytics
Deploying YOLOv11 on the RK3588/356X board side opens a new era of intelligent target detection, allowing technology and humanistic care to merge perfectly in accurate identification
📄️ RKNN Custom YOLO
Convert Custom Trained YOLO Models
📄️ RKLLM DeepSeek-R1
📄️ RKLLM Qwen2-VL
Run the Qwen2_VL large language model using RKLLM