The Huawei Cloud Developer Alliance creates a tech sharing platform for developers and partners, gathering Huawei Cloud product knowledge, event updates, expert talks, and more. Together we continuously innovate to build the cloud foundation of an intelligent world.
Even when a C++ program appears to run correctly, writing beyond allocated memory can corrupt heap metadata, causing a delayed crash at free(); this article explains the underlying malloc/free mechanisms, demonstrates the issue with code examples, and offers debugging tools and defensive programming practices to prevent such errors.
This article explains how Huawei Cloud's HyperRouter implements deterministic operations through a combination of L4/L7 load‑balancing co‑design, high‑performance data‑plane choices, self‑healing mechanisms, point‑to‑point architecture, Cell + Shuffle‑Sharding isolation, and user‑centric observability, providing a reproducible blueprint for reliable cloud services.
This article provides a comprehensive overview of AI agents, explaining their core concepts, architecture, memory and planning mechanisms, tool integration, key prompting techniques such as Chain‑of‑Thought and Tree‑of‑Thought, and showcases real‑world case studies and future trends that illustrate how AI agents extend large language models to automate complex tasks.
This article explains the principles, key methods, and practical effects of model quantization, pruning, and knowledge distillation, comparing their advantages and disadvantages, and showing how combining these techniques enables compact, high‑performance AI models on resource‑constrained devices.
This article explains the ten most frequent reasons why a Ping command may fail—ranging from offline target hosts and IP misconfigurations to firewall blocks and DNS issues—and provides practical step‑by‑step troubleshooting methods and solutions to help you quickly resolve network connectivity problems.
This article explains the definitions, technical implementations, functions, limitations, and collaborative workflow of short‑term and long‑term memory in large‑language‑model agents, detailing context windows, attention mechanisms, vector storage, retrieval strategies, and future research directions for building personalized, continuously learning AI agents.
This article explains how CPUs and Ascend AI processors cooperate as host and device, compares sink and host scheduling modes, defines Host‑Bound and Device‑Bound models, and presents optimization techniques such as tiling cache, multi‑core concurrency, and small‑shape operator handling that dramatically improve AI model execution efficiency.
This curated list presents the most influential AI books, covering foundational theory, machine learning, deep learning, reinforcement learning, computer vision, and AI ethics, with editorial insights and author biographies to guide readers through the evolving landscape of artificial intelligence.
Facing gaps in database education, Beijing Information Technology University launched a GaussDB‑based textbook project to blend theory with hands‑on practice, producing a four‑part, thirteen‑chapter resource that covers fundamentals, SQL, design, and management, while supporting curriculum reform and industry collaboration.
The article explains how the MCP protocol standardizes AI model interactions with external services, outlines the challenges of deploying MCP servers in enterprises, and demonstrates how Huawei Cloud FunctionGraph's serverless workflow offers a low‑cost, scalable, and secure solution with step‑by‑step deployment guidance.
