Model Management

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.

AIDataGenerative AI

0 likes · 11 min read

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

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.

Model Managementbig datadata governance

0 likes · 14 min read

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

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.

MindsDBModel ManagementSQL

0 likes · 5 min read

Accelerating Recommendation System Development with MindsDB

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 ReuseApolloFrontend

0 likes · 18 min read

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

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

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.

AIForumModel Management

0 likes · 6 min read

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

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 DeploymentModel Management

0 likes · 1 min read

How ModelOps and MLOps Accelerate AI Project Development

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.

AIAutoMLModel Management

0 likes · 13 min read

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

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.

Model Managementbig datahyperparameter tuning

0 likes · 13 min read

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

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 PlatformAutoMLHyperparameter Optimization

0 likes · 17 min read

Automated Machine Learning System Architecture and Hyper‑Parameter Optimization Process

JD Tech Talk

Feb 13, 2020 · Artificial Intelligence

Full-Process Traceability Management for Machine Learning Models: Challenges, Methods, and Solutions

This article analyzes the challenges of managing the entire machine‑learning lifecycle, reviews existing traceability approaches, and proposes comprehensive methods for versioned management of model training, prediction, and online service to improve efficiency, reproducibility, and maintenance of AI systems.

AI WorkflowModel DeploymentModel Management

0 likes · 18 min read

Full-Process Traceability Management for Machine Learning Models: Challenges, Methods, and Solutions

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-FlowFederated Learning

0 likes · 14 min read

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

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.

AutomationFeature EngineeringModel Management

0 likes · 15 min read

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