AI
AI-Related Papers
· β˜• 4 min read
2025 Intrinsic Fingerprint of LLMs [Published: 07-04] View The paper proposes a robust fingerprinting method based on the inter-layer standard-deviation distribution pattern of attention parameter matrices (Q/K/V/O), used to detect lineage relationships between large language models (LLMs) β€” for example, whether one model was derived from another through continued training, fine-tuning, or an upgrade.

Using Gemini CLI on a Server
· β˜• 3 min read
1. Get the Project ID and API Key Visit https://aistudio.google.com/apikey Get the project ID and API key, and set them as environment variables 1 2 echo "export GOOGLE_CLOUD_PROJECT=" >> ~/.bashrc echo "export GEMINI_API_KEY=" >> ~/.bashrc 1 source ~/.bashrc 2. Prepare the Node.js Environment Install nvm 1 curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.3/install.sh |

Ascend DMI Tool Usage Guide
· β˜• 3 min read
1. Installing Dependencies MindCluster ToolBox is a system-level toolset for cluster operations and hardware management, mainly used for operations such as device monitoring, performance testing, and log collection. MindCluster ToolBox includes the Ascend DMI tool, the log collection tool, and the Ascend Cert tool. MindCluster ToolBox works by calling low-level DCMI (Device Control Management Interface) and AscendCL (Ascend Computing Language) interfaces to perform the relevant detection functions; system-level information queries are implemented by calling the general-purpose libraries provided by the system.

Open-Source GPU Virtualization Projects on Kubernetes
· β˜• 5 min read
1. k8s-device-plugin https://github.com/NVIDIA/k8s-device-plugin is the official Kubernetes device plugin from NVIDIA, used to manage and allocate NVIDIA GPU resources in a Kubernetes cluster. By interacting with kubelet, k8s-device-plugin automatically discovers and registers GPU devices and exposes them to the Kubernetes scheduler as resources. It supports many GPU models and is able to handle GPU partitioning and sharing.

3FS: Key Technologies and Design
· β˜• 4 min read
1. Direct IO Direct IO bypasses the operating system’s page cache and interacts with hardware devices directly. Characteristics of Direct IO: Lots of new data, so no caching is needed Low memory footprint Sequential reads and writes of large files For synchronous read operations above a threshold (1MB by default), the 3FS client converts them into AIO operations (opening the file in Direct IO mode) to improve read performance.