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.
This article presents a structured, step‑by‑step learning path that guides beginners from Python fundamentals through AI API mastery, Retrieval‑Augmented Generation, deep MCP protocol knowledge, and advanced multi‑agent development, complete with practical code examples and performance‑monitoring techniques.
This article breaks down five fundamental concepts of large AI models—parameter count, tokenization, context window, context length, and temperature—explaining their impact on model capability, computational cost, generation quality, and how to balance them for optimal performance.
This article walks developers through three essential upgrades for Retrieval‑Augmented Generation systems—hybrid search combining vector and keyword retrieval, query rewriting to clarify conversational inputs, and re‑ranking with a cross‑encoder—providing step‑by‑step code examples using LangChain to dramatically improve answer quality.
This curated reading list presents must‑read books covering cloud, edge, distributed, high‑performance, parallel, heterogeneous, quantum, and AI computing, offering expert editorial insights, author backgrounds, and publication details to help readers grasp core concepts and advance their technical expertise.
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.
