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Alibaba Cloud Native
Alibaba Cloud Native
Apr 21, 2026 · Cloud Native

Why Alibaba Cloud’s AgentRun Is Redefining Managed AI Agents for Enterprises

AgentRun offers a cloud‑native, serverless platform that abstracts the full lifecycle of AI agents—definition, runtime, session, and event stream—while providing enterprise‑grade features such as model‑agnostic services, data‑in‑region networking, unified credential management, multi‑tenant isolation, full‑stack observability, and elastic scaling.

AI agentsCloud NativeEnterprise AI
0 likes · 16 min read
Why Alibaba Cloud’s AgentRun Is Redefining Managed AI Agents for Enterprises
Su San Talks Tech
Su San Talks Tech
Apr 3, 2026 · Artificial Intelligence

How to Seamlessly Switch Between Multiple AI Models with CC Switch

CC Switch is a cross‑platform desktop assistant that visualizes and unifies the configuration of major AI programming tools, enabling one‑click model switching, skill and MCP management, cloud sync, and system‑tray access, with simple installation from its GitHub releases page.

AIModel ManagementTauri
0 likes · 6 min read
How to Seamlessly Switch Between Multiple AI Models with CC Switch
Alibaba Cloud Native
Alibaba Cloud Native
Feb 26, 2026 · Cloud Native

Seamlessly Connect Dify Apps to Multiple AI Models with the Higress AI Gateway

This guide explains the challenges of managing multiple AI models in Dify, introduces the Higress AI Gateway plugin that provides unified model access, governance, and fine‑grained authentication, and walks through two practical demos—an Agent assistant and an image‑generation workflow—showing step‑by‑step configuration and usage.

Cloud NativeDifyHigress
0 likes · 10 min read
Seamlessly Connect Dify Apps to Multiple AI Models with the Higress AI Gateway
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 25, 2025 · Artificial Intelligence

Introducing Spring AI: A Java Framework for Building Generative AI Applications

This article introduces Spring AI, a Java‑based AI framework inspired by LangChain, explains its core capabilities such as model management, inference, extension and Spring ecosystem integration, and provides step‑by‑step installation, configuration, sample code, and guidance for creating MCP services.

AI FrameworkJavaMCP
0 likes · 6 min read
Introducing Spring AI: A Java Framework for Building Generative AI Applications
Ops Development & AI Practice
Ops Development & AI Practice
Mar 17, 2025 · Artificial Intelligence

Unlocking LLM Power: A Hands‑On Guide to Open WebUI

Open WebUI offers a user‑friendly, open‑source web interface that simplifies interaction with large language models, supporting multiple back‑ends, offline operation, and extensible plugins, making AI experimentation accessible for developers, researchers, and enthusiasts alike.

AILLMModel Management
0 likes · 4 min read
Unlocking LLM Power: A Hands‑On Guide to Open WebUI
Alibaba Cloud Native
Alibaba Cloud Native
Mar 7, 2025 · Artificial Intelligence

8 Real-World AI Gateway Use Cases Every Enterprise Should Know

This article outlines eight practical AI gateway scenarios—from multi‑model services and consumer authentication to token rate limiting, content safety, semantic caching, and observability—explaining the business needs behind each and how Alibaba Cloud's cloud‑native API gateway provides concrete technical solutions.

AI gatewayCloud NativeContent Safety
0 likes · 15 min read
8 Real-World AI Gateway Use Cases Every Enterprise Should Know
Tencent Advertising Technology
Tencent Advertising Technology
Jul 19, 2024 · Artificial Intelligence

The Brutal Aesthetics of Data and Compute: Scaling Laws, Generative AI, and the Evolution of Advertising Systems

This article explains how the scaling law—massive data, compute, and a simple transformer architecture—drives generative AI breakthroughs, how Tencent applied this principle to build larger ad models and the "Hunyuan" large model, and how advertising systems must evolve to truly understand content and users.

@DataAIModel Management
0 likes · 11 min read
The Brutal Aesthetics of Data and Compute: Scaling Laws, Generative AI, and the Evolution of Advertising Systems
DataFunSummit
DataFunSummit
Jul 6, 2024 · Big Data

JD Tech Data Warehouse Journey, Model Management, and Tag Value Evaluation

This article shares JD Tech's experience in data warehouse evolution, model management practices, and tag value assessment, covering the company's data journey from 2013, layered warehouse architecture, modeling standards, governance, and a quantitative framework for evaluating tag effectiveness.

Data GovernanceModel Managementtag value evaluation
0 likes · 14 min read
JD Tech Data Warehouse Journey, Model Management, and Tag Value Evaluation
58UXD
58UXD
Jun 13, 2024 · Artificial Intelligence

Why ComfyUI Is the Fast, Flexible Choice Over WebUI for Stable Diffusion

This article explains what ComfyUI is, how its node‑based workflow mirrors the underlying Stable Diffusion architecture, and why it outperforms WebUI in speed, GPU usage, real‑time preview, and workflow reuse, while also offering practical tips for new users.

AI image generationComfyUIGPU Optimization
0 likes · 9 min read
Why ComfyUI Is the Fast, Flexible Choice Over WebUI for Stable Diffusion
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Jan 9, 2024 · Artificial Intelligence

Accelerating Recommendation System Development with MindsDB

The article explains how the data team adopted the open‑source machine‑learning platform MindsDB to simplify data integration, enable SQL‑based model training and inference, manage model versions, and dramatically shorten recommendation system development cycles, achieving up to 30% efficiency gains.

Data IntegrationMindsDBModel Management
0 likes · 5 min read
Accelerating Recommendation System Development with MindsDB
TikTok Frontend Technology Team
TikTok Frontend Technology Team
Nov 16, 2022 · Frontend Development

Design and Implementation of a GraphQL Model Management Platform for Frontend‑Backend Collaboration

The article presents a comprehensive solution for improving interface reuse, domain‑model abstraction, and front‑back collaboration by building a GraphQL‑based Model Management Platform (GMP) that supports data‑model management, service orchestration, request generation, caching, authentication, and monitoring, complete with tooling and workflow integration.

API ReuseApolloCache
0 likes · 18 min read
Design and Implementation of a GraphQL Model Management Platform for Frontend‑Backend Collaboration
DataFunSummit
DataFunSummit
May 1, 2022 · Artificial Intelligence

Intelligent Risk Control Platform: Design Background, Full‑Cycle Strategy and Model Management, and Business Architecture

This article presents a comprehensive overview of an intelligent risk control middle‑platform, covering its design background, the five‑characteristics and "five‑all double‑core" concept, full‑cycle strategy and model lifecycle management, business architecture, and real‑world application cases, highlighting the integration of rule‑based and AI‑driven decision engines.

AIAutoMLModel Management
0 likes · 13 min read
Intelligent Risk Control Platform: Design Background, Full‑Cycle Strategy and Model Management, and Business Architecture
Efficient Ops
Efficient Ops
Apr 29, 2022 · Artificial Intelligence

China’s First AI Model Development Standard – Highlights from the AI Engineering Forum

The AI Engineering Online Forum, co‑hosted by China Academy of Information and Communications Technology, unveiled the industry’s first AI Model Development and Management (Model/MLOps) maturity standard, featured expert insights from finance, telecom, and tech leaders, and showcased practical MLOps implementations across banking, Huawei, and AI startups.

AIEngineeringForum
0 likes · 6 min read
China’s First AI Model Development Standard – Highlights from the AI Engineering Forum
Efficient Ops
Efficient Ops
Apr 24, 2022 · Artificial Intelligence

How ModelOps and MLOps Accelerate AI Project Development

ModelOps and MLOps are transforming AI engineering by introducing continuous training, integration, and deployment, which streamline development cycles, standardize model management, and enable ongoing monitoring to enhance inference accuracy and maximize the business value generated by AI models.

AI EngineeringContinuous DeploymentMLOps
0 likes · 1 min read
How ModelOps and MLOps Accelerate AI Project Development
DataFunTalk
DataFunTalk
Apr 19, 2022 · Artificial Intelligence

Intelligent Risk Control Platform: Design Principles, Strategy and Model Lifecycle Management, and Architecture

This article presents a comprehensive overview of an intelligent risk control platform, covering its design background, six core characteristics, the "five‑full double‑core" concept, end‑to‑end strategy and model lifecycle management, business architecture atomization, and real‑world anti‑fraud case studies.

AIModel Managementdata engineering
0 likes · 13 min read
Intelligent Risk Control Platform: Design Principles, Strategy and Model Lifecycle Management, and Architecture
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Feb 23, 2021 · Artificial Intelligence

How Meituan Built a One‑Stop Machine Learning Platform for Delivery Optimization

This article explains how Meituan’s delivery business has transitioned from data online to AI‑driven decision making by building a comprehensive, one‑stop machine learning platform that includes model management, data graph, feature store, AB testing, and a machine‑learning definition language to accelerate algorithm iteration and reduce operational costs.

AB testingAI PlatformDelivery Logistics
0 likes · 5 min read
How Meituan Built a One‑Stop Machine Learning Platform for Delivery Optimization
DataFunTalk
DataFunTalk
Jan 3, 2021 · Artificial Intelligence

iQIYI Machine Learning Platform: Development History, Features, and Practical Experience

This article details the evolution of iQIYI's machine learning platform—from its early Javis‑based deep‑learning system to three major versions that introduced visual workflow, distributed scheduling, auto‑tuning, large‑scale training support, model management, and online prediction—while sharing practical lessons and a real anti‑cheat use case.

Big DataModel Managementhyperparameter tuning
0 likes · 13 min read
iQIYI Machine Learning Platform: Development History, Features, and Practical Experience
JD Tech Talk
JD Tech Talk
Apr 24, 2020 · Artificial Intelligence

Automated Machine Learning System Architecture and Hyper‑Parameter Optimization Process

This article presents a comprehensive automated machine‑learning platform that abstracts task design, hyper‑parameter search space management, optimization engines, algorithm repositories, training/evaluation engines, model repositories and monitoring panels, offering both expert‑assisted and code‑free modes to accelerate model building while reducing reliance on specialist knowledge.

AI PlatformAutoMLModel Management
0 likes · 17 min read
Automated Machine Learning System Architecture and Hyper‑Parameter Optimization Process
Meituan Technology Team
Meituan Technology Team
Feb 6, 2020 · Artificial Intelligence

Building a One-Stop Machine Learning Platform: Meituan's Turing Platform

Meituan’s Turing platform consolidates the entire delivery‑order workflow—from massive data ingestion and feature generation to model training, evaluation, deployment, real‑time prediction, and AB testing—into a single, end‑to‑end system that evolved from a minimal MVP into a fully platformized solution, addressing speed, accuracy, and engineering‑algorithm decoupling while planning deeper deep‑learning integration.

AB testingDeep LearningMachine Learning Platform
0 likes · 16 min read
Building a One-Stop Machine Learning Platform: Meituan's Turing Platform
DataFunTalk
DataFunTalk
Oct 11, 2019 · Artificial Intelligence

Building an End-to-End Federated Learning Pipeline Production Service with FATE-Flow

This article explains how to construct a high‑elastic, high‑performance end‑to‑end federated learning pipeline—including task scheduling, visual modeling, model management, version control, and online inference—using the FATE‑Flow platform to move from experimental ML to production deployment.

AIFATE-FlowModel Management
0 likes · 14 min read
Building an End-to-End Federated Learning Pipeline Production Service with FATE-Flow
Qunar Tech Salon
Qunar Tech Salon
Jul 10, 2018 · Artificial Intelligence

Design and Implementation of Qunar's Algorithm Service Platform for Machine Learning

The article describes the background, design, key components, and current status of Qunar's algorithm service platform, which provides a unified, scalable, and automated environment for feature engineering, model training, deployment, monitoring, and management of machine‑learning projects within the company's large‑accommodation division.

Model Managementfeature engineeringmachine learning
0 likes · 15 min read
Design and Implementation of Qunar's Algorithm Service Platform for Machine Learning