Official service account of 360 Smart Cloud, dedicated to building a high-quality, secure, highly available, convenient, and stable one‑stop cloud service platform.
The TLP platform offers comprehensive support for labeling text, image, audio, and video data, detailing the importance of high‑quality annotations for large AI models, task creation, workflow steps, review processes, and an automatic annotation feature that can boost efficiency by over 60 percent.
This article explains how the Model Context Protocol (MCP) bridges large language models and external services by converting OpenAPI specifications into callable tools, covering generation with openapi‑generator, mapping rules, three runtime modes (stdio, streamable, SSE), and implementation details in Java, Python, and Go.
The Model Context Protocol (MCP) is emerging as a de‑facto standard for AI interactions, and cloud‑hosted MCP servers are gaining traction by lowering developer barriers, enhancing SaaS integration, meeting enterprise compliance, while also facing deployment speed, traffic variability, and complex logic challenges that serverless function compute aims to resolve.
This article explains the purpose, architecture, configuration steps, TLS setup, validation, technical selection, controller operation, reload process, high‑availability design, customization options, and future roadmap of the Kubernetes Ingress NGINX solution for seven‑layer load balancing.
This article provides a comprehensive overview of object storage, covering its origins, historical development, fundamental operations, key advantages over block and file storage, major application scenarios, and predicted future trends in cloud and big‑data environments.
This article reviews the principles and practical implementations of data, pipeline, tensor, sequence, and context parallelism together with memory‑saving strategies such as recomputation and ZeRO, and demonstrates how the QLM framework leverages these techniques to accelerate large‑model training and fine‑tuning on multi‑GPU clusters.
This article explains backend web security concepts, detailing logical threats such as CSRF and CORS, their mechanisms, and protection strategies, and then discusses data security measures including access control, encryption, backups, monitoring, and software updates to safeguard web applications.
This article provides a comprehensive overview of web security, covering authentication, input validation, secure coding practices, SQL injection and XSS attack mechanisms, detection methods, defensive techniques, and best practices for secure file upload and download.
This article examines the critical role of shuffle in big‑data processing, compares Spark's native shuffle with the External Shuffle Service (ESS) and Remote Shuffle Service (RSS) solutions, introduces Uniffle's architecture and configuration, and shares practical deployment experiences and performance results within a 360 internal environment.
This article introduces the background and challenges of large language model training, explains the Mixture-of-Experts (MoE) architecture, and details several optimization techniques implemented in the QLM framework—including fine-grained and shared experts, top‑k gating, token distribution, expert parallelism, and grouped GEMM – to improve training efficiency and performance.
