This guide shows how developers can quickly integrate DeepSeek's powerful language model into WeChat mini‑programs using Tencent Cloud, covering three integration approaches, a three‑step voice‑interaction setup, and a concise list of related cloud products and resources.
This article summarizes a meetup talk by Alibaba Cloud expert Yu Deshui, detailing MaxCompute’s evolution, serverless architecture, AI‑enabled features, and the platform’s comprehensive solutions—including OpenLake, MaxFrame, Object Table, near‑real‑time computing, and AI Functions—to address the challenges of modern data‑centric AI workloads.
This guide walks through building a Java RAG system with DeepSeek R1, Milvus, and Spring, covering environment setup, vector model integration via OpenAI protocol, Maven dependencies, data embedding, and a chat endpoint that combines semantic retrieval with LLM generation.
This tutorial walks you through obtaining a DeepSeek API key, installing Docker, configuring the chatgpt‑on‑wechat project, creating a custom docker‑compose.yml, and deploying the Cow application to enable DeepSeek-powered chat in your personal WeChat, complete with code snippets and screenshots.
This article introduces deepseek4j, a Spring‑Boot‑compatible library that fully supports DeepSeek R1’s chain‑of‑thought and billing features, offering reactive streaming, easy configuration, and a built‑in debugging page, with step‑by‑step setup and code examples to help developers quickly integrate the model.
This step‑by‑step guide shows how to install IntelliJ IDEA, add the CodeGPT plugin, configure DeepSeek API keys and URLs, and use the DeepSeek Coder template for AI‑assisted code completion within the IDE.
This guide explains how the open‑source Model Context Protocol (MCP) enables natural‑language control of Docker containers, walks through environment setup, Spring AI integration, client project configuration, and demonstrates a full execution log showing automated image pulling, port mapping, volume mounting, and container startup.
This article introduces DeepSeek R1, a breakthrough reasoning‑focused large model that visualizes its chain‑of‑thought process, matches OpenAI O1 performance, offers open‑source advantages, and provides step‑by‑step Spring AI integration guidance, including dependency setup, configuration, and code examples.
The 2024 second‑half database industry review highlights accelerated growth, AI‑database integration, multimodal support, storage‑compute separation, and a comprehensive roundup of major product releases and feature enhancements across RDBMS, NoSQL, NewSQL, cloud, and big‑data ecosystems, with links to detailed changelogs and download resources.
The article walks through the DIKW model, illustrates how a homestay platform’s data stack evolves from a simple MVP to a complex, AI‑enabled distributed system, and details the design of a unified Data Warebase that combines database and data‑warehouse capabilities to meet performance, correctness, and real‑time demands, backed by concrete case studies and measurable improvements.
Baidu Intelligent Cloud’s Qianfan AppBuilder 3.0 offers an enterprise‑grade platform that simplifies large‑model application development by providing high‑accuracy RAG, robust agent scheduling, extensive integration, secure private‑or‑hybrid deployment, and a guided methodology, enabling industries to transform processes, add AI copilots, and create novel capabilities.
This guide walks you through setting up Ollama for local large‑model serving, creating a Spring Boot project with Spring AI support, writing a unit test to query the model, and explains how to add the necessary dependencies for AI integration in existing Java applications.
The talk outlines ApsaraMQ’s journey to a fully serverless, cloud‑native messaging platform, detailing its compute‑storage separation, stateless proxy functions, RDMA‑enhanced performance, elastic scaling mechanisms, and how its event‑driven architecture empowers real‑time AI applications through seamless data vectorization.
This article examines the challenges of traditional on‑premise software, explains how enterprise SaaS launchpads with dual front‑office and back‑office workbenches simplify user roles, improve digital asset management, and leverage AI to enhance efficiency, offering practical design patterns and service‑off‑boarding strategies.
This article introduces HarmonyOS NEXT's Intent Framework, explains its distribution capabilities such as habit and event recommendations, skill invocation, and local search, showcases practical scenarios including movie ticket reminders and JD Finance services, and provides step‑by‑step integration instructions with code examples.
This article explains HarmonyOS NEXT's Intent Framework, detailing its distribution capabilities, real‑world usage scenarios—including finance examples—along with step‑by‑step integration, code snippets, testing procedures, and future enhancements to improve mobile app engagement.
This article explains Robotic Process Automation (RPA), its cost‑saving and efficiency benefits, common use cases such as private‑domain operations, HR and e‑commerce, the business and technical architecture of a large‑scale RPA system, Android accessibility service fundamentals, sample code, and future AI‑driven enhancements.
Since 2017, Guangdong Mobile has advanced its digital transformation by integrating data‑weaving technology with AI large models to overcome data silos, improve governance, and support a rapidly growing mix of structured and unstructured data across its enterprise, culminating in a virtual data‑center architecture that drives efficient data storage, processing, and business innovation.
This article examines how large‑scale big‑data platforms can simplify AI application development, outlines the shift from model‑centric to data‑centric paradigms, and shares Alibaba Cloud’s practical experiences in building an integrated big‑data‑AI architecture, including MaxCompute, Hologres, MaxFrame, and vector search capabilities.
This article compares Kong, Gloo, and Higress on their AI‑related extensions—covering tech stacks, logging, proxy normalization, API‑key handling, caching, request/response rewriting, and RAG support—to help developers choose the most suitable gateway for emerging LLM workloads.
This article examines the three dominant AI integration forms on PC—immersive agents, accompanying co‑pilots, and embedded AI—detailing their capabilities, UI designs, real‑world examples, and design considerations to help creators choose the most effective approach for each scenario.
This case study examines how 58 Home’s maid‑booking service transformed its traditional broker‑driven model into a direct, zero‑intermediary experience, using market analysis, AI features, and conversion‑rate optimizations to overcome user confusion, low resume quality, and traffic challenges.
On August 10‑11, JD Group's Project Management Talent Development Channel showcased its expertise at the 3rd China PMO&PM Conference in Shanghai, delivering multiple expert talks on data‑driven project management, R&D efficiency, AI‑enabled workflows, overseas delivery, and fostering industry dialogue through round‑table discussions.
This article provides a comprehensive, step‑by‑step guide to designing, prototyping, and continuously improving an AI‑assisted software engineering (AI4SE) framework, covering goal definition, pain‑point identification, technology selection, cross‑disciplinary team building, metric evaluation, and real‑world examples for teams of all sizes.
A curated roundup of the latest frontend and AI development resources, covering React 2023 insights, new CSS font-size-adjust support, Astro 4.12 release, zero‑width character pitfalls in phone validation, the relevance of global state, form‑design strategies, and AI‑assisted coding workflows.
This article reviews the evolution of databases and large models, explains vector database fundamentals and RAG pipelines, and details Baidu's VectorDB architecture, performance advantages, and its role in AI‑enhanced database operations.
This article examines how the big‑data AI development paradigm has shifted from model‑centric to data‑centric workflows, outlines the challenges of integrating data and AI teams, and details Alibaba Cloud’s end‑to‑end, serverless big‑data platform—including MaxCompute, Hologres, MaxFrame, Object Table, and vector search—designed to accelerate large‑scale AI applications.
This article introduces Spring Cloud Alibaba AI, explains its relationship to Spring AI, and provides a step‑by‑step tutorial—including Maven setup, dependency configuration, code examples, and sample calls—to integrate Alibaba's Tongyi large‑model services for text QA, image generation, and speech synthesis in a Java Spring Boot application.
This article explores the technical maturity curve of indicator systems, covering data collection, modeling, production, management, governance, and application, while analyzing the security, stability, and usability requirements and discussing how large language models can enhance certain clear and complicated scenarios.
This tutorial teaches Java engineers how to build a JUnit4 Rule that captures test failures, extracts stack traces and source files, sends them to GPT for automated analysis, and logs the AI‑generated code improvement suggestions, complete with full example code and usage.
This tutorial introduces Spring AI and Spring Cloud Alibaba AI, explains their core features, shows how to set up a Maven project with the required dependencies, and provides step‑by‑step code examples for invoking text, image, and audio generation models using Spring Boot.
OpenAI and Stack Overflow have announced a partnership that will integrate large‑language models into the platform, allowing real‑time API access, AI‑enhanced search, and content linking in ChatGPT, while also raising concerns about community engagement, data usage, and future strategic direction.
This article explains how to build and apply a comprehensive metric system by addressing business, technical, and product challenges, outlining design, standardization, metadata management, and future AI‑driven use cases to support data‑driven decision making.
This guide explains how to add Moonshot's large language model to the Webman 5.0 framework, covering feature highlights, driver and processor implementation in PHP, configuration of model mappings, role settings, and practical code snippets for seamless AI integration.
Stack Overflow and Google Cloud have formed a strategic partnership to embed verified Stack Overflow answers into Google Cloud’s Gemini AI, while JetBrains’ survey reveals AI coding assistants dramatically boost developer productivity and satisfaction, highlighting a new era of AI‑enhanced software development.
This guide introduces Spring AI, shows how to add dependencies, configure OpenAI credentials, and demonstrates chat, image, and prompt APIs with code examples, then explores advanced function calling to build business‑level large language model integrations in Java.
Discover a Python 3.11‑based WeChat bot that leverages ChatGPT for intelligent replies, AI‑generated images, context memory, and a suite of automation features such as friend management, video downloads, and automated Moments posting, complete with system requirements, installation steps, and visual demos.
This article explains how ChatGPT is integrated into the Columbus Instant Design low‑code platform, detailing the platform’s core capabilities, AI‑driven workflow for creating and modifying UI floors, implementation architecture, token management, and future development plans.
The Bilibili video template system combines theme‑based editing, a layered architecture, and a cross‑platform Protobuf protocol to enable PGC and UGC creators to produce, review, distribute, and consume richly‑featured videos with standardized media formats, modular plugins, AI integration, and robust quality assurance.
CoUnit is an open‑source Rust‑based tool that uses local semantic search and LLMs to create a virtual team interface, enabling low‑cost, offline knowledge retrieval, API discovery, and cross‑team assistance for software development teams.
The article examines fundamental challenges of applying large language models to software engineering—such as scale limits, lack of abstract reasoning, hidden tacit knowledge, and maintenance difficulties—and proposes practical recommendations for integrating AI with disciplined development practices.
This article explores the rise of procedural materials in computer graphics, explaining how algorithm-driven textures in Unreal Engine can generate infinite variations, save time, enhance performance, and integrate with AI, while also discussing workflow, node systems, challenges, and future trends for game developers.
This article explains how integrating large language models into industrial configuration tools creates AI‑driven features such as knowledge Q&A, automatic application generation, smart drawing, script and material generation, and outlines the three‑layer architecture, prompt engineering, and implementation lessons for developers.
The article traces the evolution of databases, explains how vector databases leverage generative AI for similarity search and anomaly detection, showcases practical examples, details KX's KDB.AI pipeline, discusses market competition and privacy concerns, and highlights speed claims that make vector databases pivotal for modern data-intensive applications.
The article examines the rapid rise of GPT models, their technical capabilities and limitations, and how their integration is reshaping software interaction from command‑line to GUI‑plus‑Language UI, offering frontend engineers new opportunities, practical examples, and guidance on leveraging large‑model AI in product design.
This article explores whether AI agents such as ChatGPT can help business owners quickly perform data analysis by linking large language models with local MySQL databases via LangChain, presenting the experimental setup, schema creation, sample queries, results, and practical insights.
This article explores the challenges AI poses to designers, examines why low‑code platforms struggle with user experience, analyzes real‑world canvas issues through competitor studies, and presents a comprehensive redesign of the 58APAAS canvas that improves framework, visual feedback, interaction, semantics, and UI guidelines while hinting at future AI‑driven enhancements.
Integrating ChatGPT with low‑code platforms—using it to translate domain models, generate DSL specifications, and fill code snippets—can automate up to 90 % of routine coding while still requiring human review for complex logic, data sensitivity, and best‑practice compliance.
This guide shows how to install PandasAI, connect it to OpenAI's language model, and use natural‑language prompts to query and visualize Pandas DataFrames, including examples with sample data, database connections, and custom aggregations.
This guide walks you through preparing an OpenAI account, obtaining an API key, using the Completion endpoint with example JSON, calling the API from plain JavaScript/HTML, and integrating the same service into a Spring Boot application with Maven dependencies and Java code.
The article explores how AI's rise highlights human error, argues that fault‑tolerant design is essential for user‑centric products, outlines practical guidelines such as anticipatory guidance and constructive error recovery, and validates the approach with a VR‑tool experiment.
Windows' share of the US desktop market has fallen to its lowest level since 2009, dropping to 57.37% as macOS and ChromeOS gain traction, while Microsoft's AI-driven enhancements aim to revive its dominance.
This article summarizes Wang Chuanting’s DTCC2022 talk on Huawei Cloud GaussDB(DWS) 3.0, detailing its cloud‑native architecture, layered elasticity, lake‑warehouse integration, performance acceleration techniques, and how it seamlessly couples data‑processing pipelines with AI workloads for modern, real‑time analytics.
In this interview, Huawei Cloud’s chief architect Zeng Kai explains how data warehouses originated, outlines the five key fusion trends shaping their evolution, and reveals the innovative features of GaussDB(DWS) 3.0 that drive cloud‑native, real‑time, and AI‑integrated analytics.
This article demonstrates how to integrate ChatGPT with Siri using iOS Shortcuts to build a sophisticated smart home system, detailing JSON request structures, prompt engineering, handling of command, query, answer, and clarification actions, and providing step‑by‑step code examples for implementation.
Microsoft’s $100 billion investment in OpenAI aims to embed ChatGPT across Bing and Office, promising powerful AI-driven search and productivity tools while confronting challenges of cost, accuracy, and privacy, and signaling a major shift in the competitive AI landscape.
The paper describes how Bilibili transformed its danmaku service from a simple, limited‑recall pipeline into a ten‑fold larger, KV‑store‑backed recommendation architecture that unifies engineering and AI layers, uses dynamic sharding and Redis locks, and ultimately boosts recall pool size, exposure, and experiment speed while reducing downgrade rates.
The talk outlines the evolution of Alibaba Cloud’s integrated big data and AI platform, highlighting the three‑V fundamentals, the AI‑inspired usability‑scale‑efficiency triangle, open‑source trends, and how the platform unifies offline and real‑time analytics while simplifying governance and development.
This article explains how Meituan's instant logistics platform evolved from a monolithic system to a highly available, scalable, and AI‑enhanced distributed architecture, detailing the technical challenges, architectural upgrades, fault‑tolerance strategies, and future scalability concerns.
This article explains data architecture as the transformation of business needs into data and system requirements, outlines its objectives, core principles, essential components, the relationship with data modeling, relevant frameworks, and modern best‑practice guidelines for building scalable, cloud‑native, AI‑enabled architectures.
This article explains how Meituan's instant logistics platform evolved over five years, detailing the distributed, high‑concurrency system design, AI‑driven optimizations, multi‑center and unit‑based deployment strategies, and the operational challenges and solutions for achieving high availability and low latency.
The article describes Meituan's five‑year journey in instant logistics, detailing the challenges of massive order‑rider matching, high traffic spikes, ultra‑low latency requirements, and how a layered, micro‑service‑based distributed architecture combined with AI techniques was progressively adopted to achieve scalability, reliability, and cost efficiency.
Airbnb’s enterprise‑grade Automation Platform unifies conversational‑AI products through a Markov Decision Process‑based workflow system, featuring an Event Orchestrator, Workflow Engine, Action Store, and drag‑and‑drop Flow Builder, enabling rapid, scalable development of chatbots and assistants without deep engineering.
Cloud rendering leverages cloud computing to process and return rendered results to users, enabling Kuaishou to deliver advanced special effects by combining rendering engines with AI capabilities for improved performance and functionality.
At the 2021 ACM SIGMOD conference in Xi'an, Tencent Cloud Database TDSQL team had two papers accepted, introducing the innovative Spitfire three-tier buffer manager and adaptive multilevel serializability models, marking significant breakthroughs in database technology.
This article chronicles the evolution of a web‑based live‑streaming platform from its initial Web 1.0 prototype through successive versions, detailing AI speech detection, RTC integration, extensive refactoring, and the resulting framework that proves web technologies can effectively support live‑streaming scenarios.
Anxin Securities’ RPA Unified Management Platform earned the highest 3+ maturity rating at China’s inaugural RPA standard assessment, showcasing extensive automation across finance, operations, and disaster recovery, while outlining future SmartRPA initiatives and AI‑driven enhancements for digital transformation.
In 2020, Apache Flink surged to become the most active Apache project, releasing three major versions that advanced its unified stream‑batch engine, introduced cloud‑native K8s support, expanded AI capabilities with PyFlink, and fostered a thriving Chinese community, solidifying its role as the de‑facto standard for real‑time computing.
The 2020 Flink Forward Asia conference showcased Apache Flink's rapid growth, community milestones, industry adoption, and technical breakthroughs such as unaligned checkpoints, approximate failover, the Nexmark benchmark, stream‑batch unification, AI integration via PyFlink and Alink, and deep cloud‑native support on Kubernetes, illustrated through case studies from Alibaba, Meituan, Kuaishou, and Dell.
Zheng Zhisheng from Bilibili presents the Saber real-time computing platform, detailing its pain points, evolution, Apache Flink‑based architecture, SQL‑centric BSQL programming, DAG drag‑and‑drop design, AI use cases, and future development plans to improve scalability, operability, and AI integration.
This article explains how to combine the Flink data‑processing engine with TensorFlow to create a unified, end‑to‑end machine‑learning workflow, covering background, challenges, the Flink‑AI‑extended architecture, ML framework and operator abstractions, and both batch and streaming training and prediction modes.
The article outlines the AIIA‑hosted RPA technology salon, details the newly built RPA evaluation framework, explains RPA fundamentals and AI‑driven RPA 4.0 trends, and presents the alliance’s roadmap for standards and testing to boost successful automation deployments.
The presentation by Bilibili's real‑time platform lead details the design and implementation of a Flink‑based streaming data platform, explains how AI workloads are integrated, shares architectural decisions and operational insights, and provides the full slide deck for knowledge dissemination.
The interview with Alibaba Cloud’s container platform lead explores the evolution of container and cloud‑native technologies, security and hybrid‑cloud demands, open‑source contributions, and future AI‑container convergence that drove massive Double‑11 traffic and industry innovation.
SQLFlow is an open‑source project that connects diverse SQL engines (MySQL, Hive, SparkSQL, etc.) with AI frameworks (TensorFlow, PyTorch, XGBoost, etc.) through extended SQL syntax, enabling analysts to train and predict models using only a few SQL statements while aiming for high scalability and performance.
This article reviews a decade of MaxCompute development, covering its origins, core technologies, performance gains, ecosystem integration, intelligent features, competitive positioning, and commercialization, while highlighting the platform's role as Alibaba's central big‑data compute engine.
The article reviews major 2023 RTC industry developments—including WebRTC 1.0 finalization, AV1 codec adoption, AI‑driven video enhancements, 5G rollout, and diverse use cases in education, gaming, and emergency services—while summarizing technical sessions on codecs, architecture, and future WebRTC standards.
This article explains how real-time streaming has evolved from batch Hadoop systems through Lambda architecture to modern Kappa-style pipelines, highlighting its growing importance for developers, enterprises, and the integration of streaming with microservices, AI, and cloud-native technologies.
This article explores the evolving role of front‑end engineers, outlining how their work is diversifying across domains, industries and tech stacks, converging with device, full‑stack and AI technologies, while core fundamentals remain unchanged, and offers guidance on navigating the future.
The article examines the evolution of integration architectures, identifies persistent data‑search, adaptation, and system‑linkage challenges, and proposes AI‑driven solutions such as knowledge‑graph self‑service and deep‑learning UI automation, illustrating how intelligent integration can reshape software development pipelines.
