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DataFunTalk
DataFunTalk
May 27, 2026 · Artificial Intelligence

How Knora Combines Ontology and Large Models to Overcome Hallucinations and Execution Gaps in Enterprise AI

The article analyzes how Knora 4.0 integrates enterprise ontologies with large‑model AI to address six core challenges—hallucinations, unstable outputs, weak planning, poor responsiveness, data silos, and long cold‑start cycles—by detailing its layered architecture, autonomous agent Knora Claw, real‑world LED‑line case studies, and a three‑year roadmap toward fully autonomous enterprise systems.

AI Platformautonomous agentsenterprise AI
0 likes · 17 min read
How Knora Combines Ontology and Large Models to Overcome Hallucinations and Execution Gaps in Enterprise AI
DataFunSummit
DataFunSummit
May 25, 2026 · Big Data

How Hisense Built an AI‑Ready Multimodal Data Platform: Storage, Governance, and Development

This article details Hisense's journey to create an AI‑ready multimodal data platform, covering the challenges of integrating diverse business systems, the shift from a Hadoop‑based architecture to a cloud‑native data lake, the JuData governance and development platform, and six practical scenarios that demonstrate unified ingestion, metadata management, rule‑based quality control, intelligent asset retrieval, and future AI‑driven DataOps capabilities.

AI PlatformCloud NativeDataOps
0 likes · 23 min read
How Hisense Built an AI‑Ready Multimodal Data Platform: Storage, Governance, and Development
DataFunTalk
DataFunTalk
May 16, 2026 · Artificial Intelligence

How Knora Combines Ontology and Large Models to Overcome AI Hallucinations and Execution Gaps in Enterprises

The article explains how YueDian Technology's Knora 4.0 platform fuses domain ontologies with large‑model AI to create a unified, trustworthy, and autonomous enterprise AI system that addresses hallucination, data integration, and execution challenges across complex business scenarios.

AI PlatformLarge Language Modelautonomous agents
0 likes · 14 min read
How Knora Combines Ontology and Large Models to Overcome AI Hallucinations and Execution Gaps in Enterprises
DataFunSummit
DataFunSummit
Apr 29, 2026 · Industry Insights

Beyond the Data Rear‑view Mirror: Palantir’s Strategic Value and Real‑World Cases

Palantir leverages its Ontology‑driven data integration and AI platforms—Gotham, Foundry, and AIP—to transform fragmented data into actionable intelligence, delivering decision‑making advantages in government, aerospace, food, and energy sectors, while shifting from custom‑heavy services to an open, platform‑based ecosystem.

AI PlatformAI agentsFoundry
0 likes · 11 min read
Beyond the Data Rear‑view Mirror: Palantir’s Strategic Value and Real‑World Cases
DataFunTalk
DataFunTalk
Apr 27, 2026 · Artificial Intelligence

Ontology + Large Model: How Knora Tackles Enterprise AI Hallucination and Execution Gaps

The article analyses how Knora 4.0 combines enterprise ontologies with large‑model AI to eliminate hallucinations, provide stable semantic constraints, and enable end‑to‑end autonomous execution across complex business scenarios, illustrated with LED production‑line use cases and a detailed platform architecture.

AI PlatformKnoraLarge Language Model
0 likes · 17 min read
Ontology + Large Model: How Knora Tackles Enterprise AI Hallucination and Execution Gaps
DataFunSummit
DataFunSummit
Apr 26, 2026 · Industry Insights

Why Palantir AIP Is More Than a Data Platform – The Secret ‘Implementation Orchestration Machine’

The article analyzes how Palantir’s ontology‑driven platforms—Gotham, Foundry, and the 2023 AI Platform (AIP)—break data silos, enable real‑time decision making, and shift the company from custom‑heavy solutions to a low‑code, AI‑agent‑centric ecosystem, illustrated with military, aerospace, and retail case studies.

AI PlatformAIPPalantir
0 likes · 10 min read
Why Palantir AIP Is More Than a Data Platform – The Secret ‘Implementation Orchestration Machine’
DataFunTalk
DataFunTalk
Apr 25, 2026 · Artificial Intelligence

How Palantir Ontology Modeling Turns Real Estate Ops into an AI‑Driven Enterprise

Healthpeak, a large medical‑real‑estate REIT, replaced fragmented spreadsheets and manual data entry with Palantir AIP’s ontology‑driven AI operating system, achieving automated billing, voice‑driven workflows, reduced errors, and a scalable, data‑centric operation that frees managers to focus on tenant relationships.

AI PlatformPalantirReal Estate
0 likes · 17 min read
How Palantir Ontology Modeling Turns Real Estate Ops into an AI‑Driven Enterprise
AntData
AntData
Apr 17, 2026 · Industry Insights

5 Silver Rules That Made Dataphin‑MCP’s AI Platform Scale to 1M Calls in 9 Days

This article shares the practical lessons learned from building Dataphin‑MCP, an AI‑enabled data‑development platform, by outlining five concrete "silver" rules, illustrating each with real‑world cases, and discussing deeper considerations for building robust AI‑first tools and harnesses.

AI PlatformAgent DesignConcept modeling
0 likes · 13 min read
5 Silver Rules That Made Dataphin‑MCP’s AI Platform Scale to 1M Calls in 9 Days
AI Explorer
AI Explorer
Apr 10, 2026 · Artificial Intelligence

Why Onyx Open‑Source AI Platform Is Redefining Enterprise AI Development

Onyx, an open‑source AI platform that exploded on GitHub, bundles chat, RAG, web search and code execution into a model‑agnostic, self‑hosted solution, offering a one‑command installer, lightweight and full‑feature modes, and targeting developers, enterprises, researchers, and privacy‑focused users.

AI PlatformLLMOnyx
0 likes · 6 min read
Why Onyx Open‑Source AI Platform Is Redefining Enterprise AI Development
AI Explorer
AI Explorer
Apr 5, 2026 · Artificial Intelligence

Onyx Open-Source AI Platform: Full Model Support and One‑Stop Deployable Solution

Onyx is an open‑source AI platform that acts as an application layer for large language models, offering a unified interface for RAG, web search, code execution, multimodal interaction, and customizable agents, with model‑agnostic support, one‑click installation, and flexible deployment options for individuals and enterprises.

AI PlatformCustom AgentsDocker
0 likes · 6 min read
Onyx Open-Source AI Platform: Full Model Support and One‑Stop Deployable Solution
AI Engineering
AI Engineering
Apr 4, 2026 · Industry Insights

Anthropic Stops Supporting OpenClaw in Subscription Mode

Anthropic announced that, effective noon PT on April 4, Claude's subscription quota will no longer be usable through third‑party tools like OpenClaw, forcing users to switch to a pay‑as‑you‑go model, sparking criticism and highlighting the risks of relying on large AI platforms.

AI PlatformAnthropicClaude
0 likes · 3 min read
Anthropic Stops Supporting OpenClaw in Subscription Mode
dbaplus Community
dbaplus Community
Feb 9, 2026 · Artificial Intelligence

How EffectiveGPU Cuts GPU Costs with Fine‑Grained Partitioning and Volcano Scheduling

This article details how SF Tech's EffectiveGPU (EGPU) platform redesigns GPU resource management on Kubernetes, introducing fine‑grained memory and compute partitioning, priority‑based scheduling, Volcano integration, and monitoring pipelines to dramatically improve utilization and reduce hardware costs for AI workloads.

AI PlatformGPUGPU partitioning
0 likes · 23 min read
How EffectiveGPU Cuts GPU Costs with Fine‑Grained Partitioning and Volcano Scheduling
Fighter's World
Fighter's World
Jan 23, 2026 · Artificial Intelligence

Why Most 'Palantir-ization' Fails: a16z Insights on Ontology‑FDE Architecture

The article dissects why many startups that try to emulate Palantir’s “platform‑first” model stumble, highlighting a16z’s five gating questions, the critical role of Ontology and Forward Deployed Engineers as a double‑helix architecture, and a practical matrix for assessing AI‑centric business and technical maturity.

AI PlatformForward Deployed EngineerGenAI
0 likes · 20 min read
Why Most 'Palantir-ization' Fails: a16z Insights on Ontology‑FDE Architecture
Tech Verticals & Horizontals
Tech Verticals & Horizontals
Jan 8, 2026 · Artificial Intelligence

ByteDance Agent Practice Manual: Technical Guide and Deployment Strategies (2025)

This comprehensive manual outlines ByteDance's Agent platform, covering its technical foundations, architecture, development workflow, real‑world application scenarios, operational optimization, security compliance, future innovation paths, case studies, team collaboration, risk mitigation, tooling, and global adaptation.

AI PlatformAgentByteDance
0 likes · 4 min read
ByteDance Agent Practice Manual: Technical Guide and Deployment Strategies (2025)
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Dec 21, 2025 · Artificial Intelligence

Deploy and Explore Open WebUI: A Feature‑Rich Self‑Hosted AI Platform

Open WebUI is a self‑hosted, extensible AI platform that runs fully offline, supports multiple LLM back‑ends such as Ollama and OpenAI‑compatible APIs, offers built‑in RAG, role‑based access, multi‑model chat, markdown/LaTeX, image generation, and provides detailed Docker, pip, and Kubernetes installation guides with ready‑to‑run commands.

AI PlatformDockerLLM
0 likes · 11 min read
Deploy and Explore Open WebUI: A Feature‑Rich Self‑Hosted AI Platform
DataFunSummit
DataFunSummit
Dec 14, 2025 · Artificial Intelligence

How Sina Weibo Scaled Enterprise AI with a Unified Multi‑Agent Platform

Sina Weibo’s engineering team tackled the high technical barriers, low reuse, and long cycles of large‑model AI deployment by building a unified AI application platform that combines a layered architecture, low‑code workflow, multi‑agent orchestration, and knowledge‑base integration, enabling rapid, reliable AI solutions across the company.

AI PlatformKnowledge Baseenterprise AI
0 likes · 26 min read
How Sina Weibo Scaled Enterprise AI with a Unified Multi‑Agent Platform
Su San Talks Tech
Su San Talks Tech
Dec 14, 2025 · Operations

How to Deploy a Lightweight Gitea Git Server with Docker for AI Platforms

This guide walks through deploying the lightweight Gitea Git service with Docker, configuring MySQL, setting up the web interface, creating repositories, generating access tokens, and accessing its REST API, offering a resource‑efficient alternative to GitLab for AI model hosting platforms.

AI PlatformDockerGit
0 likes · 5 min read
How to Deploy a Lightweight Gitea Git Server with Docker for AI Platforms
Old Meng AI Explorer
Old Meng AI Explorer
Dec 5, 2025 · Industry Insights

How Bisheng Turns Enterprise AI Deployment into a Zero‑Code, One‑Stop Process

Bisheng, an open‑source LLM DevOps platform, solves the fragmented, high‑threshold, and compliance‑heavy challenges of enterprise AI by offering a zero‑code visual workflow, all‑in‑one RAG/Agent capabilities, strict security controls, and high‑precision document parsing, enabling rapid, secure AI application rollout.

AI PlatformLLM DevOpsLow‑code
0 likes · 11 min read
How Bisheng Turns Enterprise AI Deployment into a Zero‑Code, One‑Stop Process
JD Cloud Developers
JD Cloud Developers
Nov 24, 2025 · Artificial Intelligence

JoyAgent: Open‑Source Enterprise‑Grade Multi‑Agent Platform from JD

The 2025 Open Atom Developer Conference highlighted JD's JoyAgent project, an open‑source, 100% enterprise‑grade multi‑agent platform that excels in AI, data governance, and diagnostic analysis, with detailed features, performance metrics, and deployment experiences shared.

AI PlatformDiagnostic AnalysisJoyAgent
0 likes · 7 min read
JoyAgent: Open‑Source Enterprise‑Grade Multi‑Agent Platform from JD
360 Smart Cloud
360 Smart Cloud
Nov 14, 2025 · Artificial Intelligence

How TLM Platform Powers LLM Ops with PPO, GRPO and Reinforcement Evaluators

The article introduces the TLM large‑model development platform, details its fine‑tuning options, explains reinforcement learning fundamentals and key algorithms such as PPO and the newer GRPO, describes the architecture of a reinforcement evaluator, and shows how to configure RL training on the platform.

AI PlatformGRPOLLMOps
0 likes · 10 min read
How TLM Platform Powers LLM Ops with PPO, GRPO and Reinforcement Evaluators
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Nov 4, 2025 · Artificial Intelligence

How Alibaba Cloud’s PAI Powers Cutting‑Edge LLM Research at EMNLP 2025

EMNLP 2025 in Suzhou will feature Alibaba Cloud’s AI platform PAI presenting four accepted papers on knowledge distillation, small‑model reasoning, distilled reasoning models, and an automated RAG benchmark framework, alongside exhibition demos, networking events, and recruitment opportunities for AI talent.

AI PlatformEMNLP 2025Knowledge Distillation
0 likes · 10 min read
How Alibaba Cloud’s PAI Powers Cutting‑Edge LLM Research at EMNLP 2025
Tencent Cloud Developer
Tencent Cloud Developer
Oct 29, 2025 · Artificial Intelligence

How Tasking AI and Dify Redefine LLM‑Powered AI Application Development

This article analyzes the architecture, core capabilities, and workflow orchestration of LLM‑native application platforms Tasking AI and Dify, comparing their microservice designs, plugin management, multi‑tenant isolation, and GraphEngine execution to highlight strengths, trade‑offs, and future development trends.

AI PlatformDifyLLM
0 likes · 21 min read
How Tasking AI and Dify Redefine LLM‑Powered AI Application Development
Raymond Ops
Raymond Ops
Sep 26, 2025 · Artificial Intelligence

How to Build and Deploy a Dify LLM Application Platform on CentOS

This comprehensive guide walks you through the fundamentals of Dify, an open‑source LLM application platform, its key features and use cases, and provides step‑by‑step instructions for preparing the environment, installing Docker and Docker‑Compose, and deploying Dify on a CentOS 7.9 server.

AI PlatformDifyDocker
0 likes · 13 min read
How to Build and Deploy a Dify LLM Application Platform on CentOS
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 23, 2025 · Artificial Intelligence

Unlock Efficient LLMs: How Alibaba’s PAI EasyDistill Powers Model Post‑Training

This article explains how Alibaba Cloud's AI platform PAI leverages the EasyDistill framework for post‑training model optimization, covering knowledge distillation concepts, data synthesis techniques, basic and advanced distillation training, the DistilQwen model family, real‑world customer cases, and step‑by‑step practical demos.

AI PlatformEasyDistillKnowledge Distillation
0 likes · 12 min read
Unlock Efficient LLMs: How Alibaba’s PAI EasyDistill Powers Model Post‑Training
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 9, 2025 · Artificial Intelligence

Boost Large Model Performance with PAI‑ChatLearn: A High‑Performance RL Framework

PAI‑ChatLearn is a flexible, easy‑to‑use, high‑efficiency reinforcement‑learning framework on Alibaba Cloud’s AI platform that addresses usability and performance challenges of post‑training large models through features like Ray‑based scheduling, dynamic batchsize, sequence packing, MoE acceleration, and provides step‑by‑step guidance for deploying RL tasks such as Qwen‑3 on PAI‑DLC.

AI PlatformLarge ModelsPAI-ChatLearn
0 likes · 11 min read
Boost Large Model Performance with PAI‑ChatLearn: A High‑Performance RL Framework
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jun 25, 2025 · Artificial Intelligence

Boost Post‑Training Efficiency with Cosmos‑RL, Ray, and VeRL on Alibaba PAI

This article introduces Alibaba Cloud's PAI platform and demonstrates how open‑source reinforcement‑learning frameworks such as Cosmos‑RL, Ray, and VeRL accelerate post‑training for large language models, offering higher throughput, fault‑tolerance, and seamless integration for AI developers.

AI PlatformOpen Source Frameworksdistributed training
0 likes · 9 min read
Boost Post‑Training Efficiency with Cosmos‑RL, Ray, and VeRL on Alibaba PAI
Huolala Tech
Huolala Tech
May 29, 2025 · Artificial Intelligence

How LWS Enables Scalable Multi‑Node Large Model Deployment on Kubernetes

The article explains how the Dolphin AI platform tackles large‑model deployment challenges by replacing standard Kubernetes Deployments with LeaderWorkerSet, detailing its architecture, features, installation steps, example configurations, testing, scaling, rolling updates, fault recovery, and future roadmap for AI workloads.

AI PlatformKubernetesLarge Models
0 likes · 12 min read
How LWS Enables Scalable Multi‑Node Large Model Deployment on Kubernetes
Fighter's World
Fighter's World
May 24, 2025 · Artificial Intelligence

Why Glean Leads Enterprise Search: What Makes It So Powerful?

The article examines Glean’s evolution from an enterprise‑search startup to a comprehensive Work AI Platform, detailing its market growth, competitive positioning, technical architecture—including data connectors, knowledge graphs, custom models, and agent reasoning—and the strategic challenges it must overcome to sustain its lead.

AI PlatformAgentContextual AI
0 likes · 30 min read
Why Glean Leads Enterprise Search: What Makes It So Powerful?
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
May 15, 2025 · Cloud Native

How 360’s AI Platform Boosted GPU Utilization with Volcano Scheduler

360’s AI platform migrated its GPU clusters to a cloud‑native architecture and adopted the Volcano scheduler, achieving over 45% GPU utilization, less than 7% fragmentation, and more than 1000000 scheduled Pods, while leveraging flexible plugins, hierarchical queues, and resource pooling to optimize AI and big‑data workloads.

AI PlatformGPU schedulingKubernetes
0 likes · 13 min read
How 360’s AI Platform Boosted GPU Utilization with Volcano Scheduler
DeWu Technology
DeWu Technology
May 9, 2025 · Artificial Intelligence

Growth Story of a Technical Lead: Building a One‑Stop Large‑Model Training and Inference Platform at Dewu

Meng, a former Tencent and Alibaba engineer, led Dewu’s one‑stop large‑model training and inference platform, cutting integration costs, creating a shared GPU pool and CI/CD pipeline, building a Milvus vector‑database, and driving self‑directed learning that boosted business value, user experience, and set a roadmap for future RAG and cloud‑native optimizations.

AI PlatformMLOpsVector Database
0 likes · 18 min read
Growth Story of a Technical Lead: Building a One‑Stop Large‑Model Training and Inference Platform at Dewu
Go Programming World
Go Programming World
Apr 22, 2025 · Artificial Intelligence

Design and Implementation of an Enterprise‑Grade LLMOPS Platform (EasyAI)

This article presents a comprehensive overview of building an enterprise‑level LLMOPS platform—including concept definitions, the relationship between LLMOPS, MLOps and intelligent agent platforms, four development tiers, architecture layers, core technical concerns, deployment options, and the benefits of cloud‑native AI development.

AI PlatformCloud NativeDevOps
0 likes · 15 min read
Design and Implementation of an Enterprise‑Grade LLMOPS Platform (EasyAI)
MaGe Linux Operations
MaGe Linux Operations
Apr 3, 2025 · Artificial Intelligence

How to Build and Deploy a Dify LLM Application Platform on CentOS

This guide explains what Dify is, outlines its key features and application scenarios, and provides step‑by‑step instructions for preparing the environment, installing Docker and Docker‑Compose, and deploying Dify on a CentOS 7.9 system, including verification of a successful setup.

AI PlatformDifyDocker
0 likes · 9 min read
How to Build and Deploy a Dify LLM Application Platform on CentOS
Baidu Geek Talk
Baidu Geek Talk
Mar 19, 2025 · Artificial Intelligence

Inside Baidu’s New Wenxin 4.5 & X1: Multimodal Breakthroughs and Tool‑Enabled AI

Baidu officially launched the Wenxin 4.5 and X1 large language models, showcasing native multimodal foundations, advanced attention masks, heterogeneous expert extensions, and tool‑calling capabilities, while offering low‑cost API access on the Qianfan platform and outlining the underlying technical innovations that drive their performance gains.

AI PlatformBaiduLarge Language Model
0 likes · 8 min read
Inside Baidu’s New Wenxin 4.5 & X1: Multimodal Breakthroughs and Tool‑Enabled AI
DataFunSummit
DataFunSummit
Feb 14, 2025 · Artificial Intelligence

Building Large‑Scale Recommendation Systems with Big Data and Large Language Models on Alibaba Cloud AI Platform

This presentation details how Alibaba Cloud's AI platform integrates big‑data pipelines, feature‑store services, and large language model capabilities to construct high‑performance search‑recommendation architectures, covering system design, training and inference optimizations, LLM‑driven use cases, and open‑source RAG tooling.

AI PlatformBig DataFeature Store
0 likes · 17 min read
Building Large‑Scale Recommendation Systems with Big Data and Large Language Models on Alibaba Cloud AI Platform
Python Crawling & Data Mining
Python Crawling & Data Mining
Feb 7, 2025 · Artificial Intelligence

Unlocking DeepSeek: How to Use AI-Powered Python Scraping for Baidu Hot Topics

This article introduces DeepSeek, an AI platform with strong NLP and multimodal capabilities, outlines its core features and products, and provides a step‑by‑step Python tutorial—including a complete requests‑BeautifulSoup script—to scrape Baidu’s homepage hot‑topic titles, plus usage tips and precautions.

AI PlatformBaidu hot topicsPython web scraping
0 likes · 8 min read
Unlocking DeepSeek: How to Use AI-Powered Python Scraping for Baidu Hot Topics
Baidu Geek Talk
Baidu Geek Talk
Feb 5, 2025 · Artificial Intelligence

How to Unlock Full GPU Efficiency for Enterprise AI Platforms

This article analyzes common GPU efficiency problems in enterprise AI compute platforms—such as low utilization, long fault‑resolution times, and limited performance gains—and presents three practical solutions: dynamic resource allocation, systematic fault‑tolerance, and system‑level tuning, illustrated with real‑world case studies.

AI PlatformGPU utilizationlarge model training
0 likes · 11 min read
How to Unlock Full GPU Efficiency for Enterprise AI Platforms
DataFunTalk
DataFunTalk
Jan 26, 2025 · Artificial Intelligence

58.com’s LingXi Large Language Model Platform: Development, Deployment, and Performance Optimizations

Since the launch of ChatGPT, 58.com has built a Model‑as‑a‑Service platform called LingXi that trains and serves domain‑specific large language models, supports over a hundred internal scenarios with daily inference exceeding ten million calls, and continuously improves performance through quantization, GPU optimization, model miniaturization, and advanced AI applications such as interview assistants, voice agents, and RAG‑enabled agents.

AI PlatformAI applicationsInference Optimization
0 likes · 9 min read
58.com’s LingXi Large Language Model Platform: Development, Deployment, and Performance Optimizations
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jan 3, 2025 · Artificial Intelligence

Build an Education‑Focused Retrieval‑Augmented Generation (RAG) Solution with Alibaba PAI

This guide walks you through creating a RAG‑enhanced AI solution for education using Alibaba PAI, covering prerequisite setup, knowledge‑base construction with PAI‑Designer, model deployment, connection configuration, workflow assembly, and a side‑by‑side comparison of RAG versus non‑RAG answers.

AI PlatformLLMMilvus
0 likes · 16 min read
Build an Education‑Focused Retrieval‑Augmented Generation (RAG) Solution with Alibaba PAI
DataFunSummit
DataFunSummit
Dec 31, 2024 · Artificial Intelligence

How Momo Leverages Large Model Technology to Transform Business and R&D Processes

This article explains how Momo utilizes large language model technologies to revamp its AI application paradigm, achieve efficient inference through quantization and prefix caching, build a workflow‑based model platform, and outline future plans for framework optimization and multimodal support.

AI PlatformInference OptimizationMomo
0 likes · 16 min read
How Momo Leverages Large Model Technology to Transform Business and R&D Processes
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Dec 4, 2024 · Artificial Intelligence

Implementation of a Cloud‑Native AI‑Powered Quantitative Research Platform Using Alibaba Cloud ACK

The article details how the Juqian intelligent investment research platform leverages Alibaba Cloud's ACK cloud‑native AI suite, Kubernetes, and various cloud services to build a high‑efficiency, scalable AI‑driven quantitative finance solution, improving resource utilization, reducing costs, and accelerating research workflows.

ACKAIAI Platform
0 likes · 5 min read
Implementation of a Cloud‑Native AI‑Powered Quantitative Research Platform Using Alibaba Cloud ACK
Tencent Tech
Tencent Tech
Nov 19, 2024 · Artificial Intelligence

How Tencent’s Angel Platform Secured the 2024 World Internet Conference Leading Technology Award

Tencent’s Angel machine learning platform, recognized for breakthroughs in trillion‑scale model training, inference, and deployment, won the 2024 World Internet Conference Leading Technology Award, highlighting its self‑developed hardware‑software stack, high‑performance networking, and extensive real‑world AI applications.

AI PlatformAngelLarge Models
0 likes · 6 min read
How Tencent’s Angel Platform Secured the 2024 World Internet Conference Leading Technology Award
WeChat Backend Team
WeChat Backend Team
Oct 23, 2024 · Artificial Intelligence

How We Scaled AI Computing in WeChat with Ray: From Challenges to AstraRay

This article details the AI computing challenges faced by WeChat, explains why the Ray distributed engine was chosen, and describes the design and large‑scale deployment of the AstraRay platform—including scheduling, resource management, and multi‑model support—to achieve low‑cost, high‑efficiency AI services.

AI PlatformAstraRayDistributed computing
0 likes · 20 min read
How We Scaled AI Computing in WeChat with Ray: From Challenges to AstraRay
58 Tech
58 Tech
Aug 7, 2024 · Artificial Intelligence

Bridging Compute and Applications: 58.com AI Lab’s Large‑Model Platform and AI Agent Solutions

In this article, 58.com AI Lab senior director Zhan Kunlin explains how the company built a multi‑layer AI platform, created a vertical large‑language model called LingXi, and developed an AI Agent system with RAG capabilities to accelerate practical AI applications across various business scenarios.

AI PlatformAI agentsLarge Language Model
0 likes · 10 min read
Bridging Compute and Applications: 58.com AI Lab’s Large‑Model Platform and AI Agent Solutions
NewBeeNLP
NewBeeNLP
Aug 5, 2024 · Industry Insights

How Alibaba Cloud Scales Search Recommendations with Big Data, AI, and LLMs

This article details Alibaba Cloud's end‑to‑end architecture for search and advertising recommendation, covering the data platform, AI services, feature‑store design, training and inference optimizations, and the integration of large language models for new recommendation scenarios.

AI PlatformAlibaba CloudBig Data
0 likes · 17 min read
How Alibaba Cloud Scales Search Recommendations with Big Data, AI, and LLMs
DataFunTalk
DataFunTalk
Aug 2, 2024 · Artificial Intelligence

From Big Data to Large Models: Alibaba Cloud AI Platform Architecture and Practices for Search Recommendation

This presentation details Alibaba Cloud's AI platform, covering the end‑to‑end pipeline from big‑data processing and feature engineering to large‑model training, inference optimization, recommendation system architecture, and RAG applications, highlighting practical engineering solutions and performance gains.

AI PlatformBig DataFeature Store
0 likes · 18 min read
From Big Data to Large Models: Alibaba Cloud AI Platform Architecture and Practices for Search Recommendation
Architects' Tech Alliance
Architects' Tech Alliance
Jul 28, 2024 · Artificial Intelligence

Design and Optimization Practices for Intelligent Computing Platforms in the Era of Large Models

The article examines the new characteristics, challenges, and technical practices of intelligent computing platforms required for large‑model AI workloads, covering infrastructure adaptation, heterogeneous scheduling, application acceleration, operation reliability, and future directions for simplifying GPU usage and connecting heterogeneous resources.

AI PlatformInfrastructurePerformance Optimization
0 likes · 6 min read
Design and Optimization Practices for Intelligent Computing Platforms in the Era of Large Models
DataFunTalk
DataFunTalk
Jun 21, 2024 · Artificial Intelligence

Fine‑tuning Large Language Models with Alibaba Cloud PAI: Practices, Techniques, and Deployment

This article introduces the Alibaba Cloud PAI platform for large language model (LLM) fine‑tuning, covering model‑training pipelines, performance‑cost trade‑offs, retrieval‑augmented generation, fine‑tuning methods such as full‑parameter, LoRA and QLoRA, model selection, data preparation, evaluation, and real‑world deployment examples.

AI PlatformLLMModel Deployment
0 likes · 20 min read
Fine‑tuning Large Language Models with Alibaba Cloud PAI: Practices, Techniques, and Deployment
DataFunSummit
DataFunSummit
Jun 17, 2024 · Artificial Intelligence

Strategies for Reducing Cost and Improving Efficiency in Recommendation Systems with Alibaba Cloud PAI‑Rec

This article discusses how Alibaba Cloud’s AI platform PAI‑Rec reduces recommendation system costs and boosts efficiency by optimizing training resources, leveraging FeatureStore, EasyRec and TorchEasyRec frameworks, detailing workflow stages, feature consistency, GPU acceleration, componentized model configuration, and practical deployment timelines.

AI PlatformFeature StoreGPU Acceleration
0 likes · 14 min read
Strategies for Reducing Cost and Improving Efficiency in Recommendation Systems with Alibaba Cloud PAI‑Rec
58UXD
58UXD
May 27, 2024 · Artificial Intelligence

How to Build AI Chatbots with Coze: Free ChatGPT‑4 Powered Platform

This guide introduces Coze, ByteDance's AI chatbot and app‑development platform that offers free ChatGPT‑4 access, outlines its core features such as plugins, knowledge bases, workflows and multi‑platform integration, and provides a step‑by‑step tutorial for creating and publishing your own AI bot.

AI PlatformAI chatbotChatGPT-4
0 likes · 8 min read
How to Build AI Chatbots with Coze: Free ChatGPT‑4 Powered Platform
Eric Tech Circle
Eric Tech Circle
May 22, 2024 · Artificial Intelligence

Deploy and Build AI Apps with Dify: A Complete Open‑Source Guide

This article introduces Dify, an open‑source LLM application platform, outlines its core features such as workflows, model support, RAG pipelines, agents, and observability, compares it with alternatives, and provides step‑by‑step deployment instructions using Docker Compose and Helm for local and Kubernetes environments.

AI PlatformDockerKubernetes
0 likes · 7 min read
Deploy and Build AI Apps with Dify: A Complete Open‑Source Guide
AI Large Model Application Practice
AI Large Model Application Practice
Apr 5, 2024 · Artificial Intelligence

Hands‑On Comparison of Baidu AppBuilder, Alibaba Bailei, and ByteDance Coze LLM Platforms

This article provides a practical, side‑by‑side review of three major large‑model application development platforms—Baidu AppBuilder, Alibaba Bailei, and ByteDance Coze—detailing their creation workflows, configuration options, SDK capabilities, plugin ecosystems, workflow orchestration, and overall strengths and limitations for building AI agents.

AI PlatformAppBuilderCoze
0 likes · 18 min read
Hands‑On Comparison of Baidu AppBuilder, Alibaba Bailei, and ByteDance Coze LLM Platforms
dbaplus Community
dbaplus Community
Apr 1, 2024 · Cloud Native

Scaling Cloud‑Native Containers at DeWu: Multi‑Cluster Management and Cost Optimization

This article details DeWu's cloud‑native transformation since August 2021, covering multi‑cluster federation, application profiling, custom scheduling plugins, resource pre‑reservation, co‑location of online and offline workloads, cost‑saving hardware choices, multi‑cloud strategy, and the development of the KubeAI platform for AI scenarios.

AI PlatformMulti-ClusterResource Optimization
0 likes · 24 min read
Scaling Cloud‑Native Containers at DeWu: Multi‑Cluster Management and Cost Optimization
DataFunSummit
DataFunSummit
Feb 25, 2024 · Artificial Intelligence

Tencent FinTech AI Development Platform: Architecture, Challenges, and Solutions

This article introduces Tencent FinTech’s AI development platform, outlining its business background and goals, the technical challenges encountered in feature engineering, model training, and inference stability, and the comprehensive solutions—including a unified feature engine, distributed training framework, optimized deployment, and future plans for large‑scale graph training and AutoML.

AI PlatformFinTechModel Deployment
0 likes · 13 min read
Tencent FinTech AI Development Platform: Architecture, Challenges, and Solutions
Baidu Geek Talk
Baidu Geek Talk
Dec 20, 2023 · Artificial Intelligence

A Unified Platform for Prompt Development, Evaluation, and Iteration in Large Language Model Applications

The proposed unified platform centralizes prompt creation, evaluation, and iteration for large‑model applications, offering one‑stop hosting, metric‑driven testing, seamless resource integration, model switching, fine‑grained traffic control, and an automated data‑flywheel with QEP scoring, cutting optimization cycles from weeks to days while paving the way for advanced fine‑tuning techniques.

AI PlatformData Flywheelautomation
0 likes · 17 min read
A Unified Platform for Prompt Development, Evaluation, and Iteration in Large Language Model Applications
DataFunTalk
DataFunTalk
Oct 19, 2023 · Artificial Intelligence

Multimodal Large Model Platform: History, Architecture, and Practice by Nine Chapters Cloud Extreme DataCanvas

This article presents Nine Chapters Cloud Extreme DataCanvas's insights and practices on multimodal large model platforms, covering their historical development, platform components such as AI Foundation Software and Prompt Manager, practical implementations like memory-augmented models and ETL pipelines, and future prospects for enterprise knowledge bases and agents.

AI PlatformKnowledge Basemultimodal AI
0 likes · 13 min read
Multimodal Large Model Platform: History, Architecture, and Practice by Nine Chapters Cloud Extreme DataCanvas
Baidu Geek Talk
Baidu Geek Talk
Oct 11, 2023 · Artificial Intelligence

How Baidu’s Qianfan 2.0 Supercharges Large‑Model Development and Deployment

The article reviews Baidu Cloud’s Qianfan 2.0 platform, detailing its expanded model catalog, dataset library, Chinese‑language enhancements, compression and speed gains, robust AI infrastructure, application templates, and end‑to‑end data‑labeling pipeline that together lower cost and accelerate large‑model adoption across industries.

AI PlatformCloud AIModel Deployment
0 likes · 14 min read
How Baidu’s Qianfan 2.0 Supercharges Large‑Model Development and Deployment
HelloTech
HelloTech
Sep 13, 2023 · Artificial Intelligence

AI Platform‑Powered Automated Ticket Routing: Modeling Workflow, Feature Engineering, and Intent Recognition

The Haro AI platform automates customer‑service ticket routing by applying a four‑step pipeline—feature processing, model training, evaluation, and deployment—using BERT/ALBERT‑based intent recognition, configurable feature storage, AutoML or expert modes, and Faas‑style deployment, as demonstrated in the Universal Ticket System case study, dramatically improving accuracy and efficiency.

AI PlatformALBERTBERT
0 likes · 11 min read
AI Platform‑Powered Automated Ticket Routing: Modeling Workflow, Feature Engineering, and Intent Recognition
HelloTech
HelloTech
Aug 22, 2023 · Artificial Intelligence

AI Platform Architecture and Automation in Machine Learning

An end‑to‑end AI platform integrates feature processing, model training, deployment, and decision orchestration across offline and online layers, leveraging automated pipelines such as AutoML (feature engineering, hyper‑parameter optimization, neural architecture search) built on Ray Tune and NNI, which have already boosted CTR in real‑world advertising and aim to make every user an algorithm engineer.

AI PlatformAutoMLHPO
0 likes · 8 min read
AI Platform Architecture and Automation in Machine Learning
HelloTech
HelloTech
Aug 9, 2023 · Artificial Intelligence

AutoML in Hello's AI Platform and Quarkc: Building the Next‑Generation Front‑End Component Engine

At the 2023 SECon Global Software Engineering Innovation Summit in Shanghai, Hello’s technology team will showcase how its AI platform leverages AutoML to streamline model development across intelligent mobility services, and how the Quarkc engine uses Web Components to create cross‑stack, framework‑agnostic front‑end components.

AI PlatformAutoMLFront-end components
0 likes · 4 min read
AutoML in Hello's AI Platform and Quarkc: Building the Next‑Generation Front‑End Component Engine
DataFunTalk
DataFunTalk
Jul 11, 2023 · Artificial Intelligence

Sunshine Insurance Group's Zhèngyán Large Model Open Platform: Architecture, Tools, and Business Applications

The article describes Sunshine Insurance Group's Zhèngyán Large Model Open Platform, detailing its three‑layer architecture, AutoTrain tool, self‑developed LLM, smart routing, plugin marketplace, intelligent review, and how these capabilities empower insurance marketing, sales, service, and management through AI‑driven solutions.

AI PlatformInsurance TechnologyModel Deployment
0 likes · 13 min read
Sunshine Insurance Group's Zhèngyán Large Model Open Platform: Architecture, Tools, and Business Applications
DataFunSummit
DataFunSummit
Jul 1, 2023 · Artificial Intelligence

Alibaba Cloud Native Deep Learning Platform PAI‑DLC: Architecture, Features, and Future Outlook

This article introduces Alibaba Cloud's PAI‑DLC, a cloud‑native deep learning platform that integrates machine‑learning capabilities, containerized services, AI‑aware scheduling, GPU virtualization, elastic training with EasyScale, data access, and observability, and discusses its architecture, key features, and future directions.

AI PlatformCloud NativeGPU virtualization
0 likes · 16 min read
Alibaba Cloud Native Deep Learning Platform PAI‑DLC: Architecture, Features, and Future Outlook
58 Tech
58 Tech
May 11, 2023 · Artificial Intelligence

Stella Data Annotation Platform: Design, Architecture, and AI‑Assisted Labeling

The article details the design and implementation of the Stella data annotation SaaS platform at 58.com, covering its background, evolution, modular architecture, annotation capabilities across text, image, audio, and video, AI‑assisted labeling, storage solutions, quality and efficiency management, as well as localization and licensing considerations.

AI PlatformSystem Architectureactive learning
0 likes · 21 min read
Stella Data Annotation Platform: Design, Architecture, and AI‑Assisted Labeling
HelloTech
HelloTech
May 8, 2023 · Artificial Intelligence

One‑Stop AI Platform for Cloud, Edge, Mobile, Flink, and Application Intelligence: Architecture, Challenges, and Solutions

The article presents a comprehensive one‑stop AI platform that unifies training, model, feature, and decision services across cloud, edge, mobile, Flink, and application environments, detailing its architecture, the limitations of cloud‑centric inference, the advantages of localized inference, and the challenges and solutions for model and feature localization, SDK design, and future AutoML enhancements.

AI PlatformDistributed SystemsFlink
0 likes · 17 min read
One‑Stop AI Platform for Cloud, Edge, Mobile, Flink, and Application Intelligence: Architecture, Challenges, and Solutions
HelloTech
HelloTech
Apr 19, 2023 · Cloud Native

How FaaS Transforms AI Platforms: Lessons from Haro’s Cloud‑Native Journey

The article analyzes the operational, stability, and cost challenges of Haro’s AI platform, explains why a serverless FaaS architecture—specifically Knative—was selected, and details the implementation steps, performance gains, and future scenarios for AI workloads.

AI PlatformCloud NativeFaaS
0 likes · 8 min read
How FaaS Transforms AI Platforms: Lessons from Haro’s Cloud‑Native Journey
Huolala Tech
Huolala Tech
Mar 23, 2023 · Cloud Native

How Huolala Built a Cloud‑Native One‑Stop AI Platform on Kubernetes

Huolala’s Big Data Intelligent Platform team describes how they built a cloud‑native, one‑stop AI solution on Kubernetes, integrating Flink‑based feature engineering, a multi‑tenant Zeppelin notebook, GPU‑aware training, and a unified model‑serving platform, while addressing resource isolation, storage persistence, and cross‑cloud deployment.

AI PlatformCloud NativeGPU scheduling
0 likes · 17 min read
How Huolala Built a Cloud‑Native One‑Stop AI Platform on Kubernetes
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jan 18, 2023 · Artificial Intelligence

How Baidu’s AI Cloud Powers Scalable Autonomous Driving Solutions

This article outlines Baidu Intelligent Cloud’s end‑to‑end autonomous driving platform, detailing its AI foundation, massive cloud‑based data and compute requirements, flexible deployment strategies for various manufacturers, and comprehensive toolchains for data collection, annotation, training, simulation, and compliance.

AI PlatformAutonomous DrivingBaidu
0 likes · 12 min read
How Baidu’s AI Cloud Powers Scalable Autonomous Driving Solutions
DataFunTalk
DataFunTalk
Dec 20, 2022 · Artificial Intelligence

Baidu Smart Cloud Digital Human Platform: Development, Architecture, and Solution Overview

This article provides a comprehensive overview of Baidu's Smart Cloud Digital Human platform, detailing its evolution since 2019, core AI-driven architecture, platform components such as persona management and business orchestration, various industry solutions, and technical Q&A on rendering, latency, and deployment.

AI PlatformBaiducloud rendering
0 likes · 13 min read
Baidu Smart Cloud Digital Human Platform: Development, Architecture, and Solution Overview
Laiye Technology Team
Laiye Technology Team
Dec 16, 2022 · Artificial Intelligence

Efficient Production of Scene-specific OCR Models Using an AI Platform

This article explains how a unified AI platform enables rapid, data‑driven creation, training, deployment, and evaluation of OCR models for visually distinct text regions such as seals, meter readings, license plates, and VIN codes, while minimizing hardware and annotation costs.

AI PlatformKubeflowOCR
0 likes · 7 min read
Efficient Production of Scene-specific OCR Models Using an AI Platform
ByteDance Terminal Technology
ByteDance Terminal Technology
Jul 29, 2022 · Artificial Intelligence

Pitaya: ByteDance’s End‑Side AI Engineering Platform Overview

Pitaya, built by ByteDance’s Client AI and MLX teams, is a comprehensive end‑side AI engineering platform that provides a full workflow from model development and data preparation to deployment, monitoring, and federated learning, supporting large‑scale commercial scenarios across multiple apps.

AI PlatformEdge AIInference Engine
0 likes · 14 min read
Pitaya: ByteDance’s End‑Side AI Engineering Platform Overview
DataFunTalk
DataFunTalk
Jul 29, 2022 · Artificial Intelligence

Tencent Music Cloud‑Native One‑Stop Machine Learning Platform: Features and Future Roadmap

This article introduces Tencent Music's cloud‑native, one‑stop machine learning platform, detailing its engineering workflow, distributed acceleration, inference closed‑loop, edge computing capabilities, and future plans, while highlighting challenges of traditional ML pipelines and the platform's solutions for resource orchestration, storage, scheduling, and GPU utilization.

AI PlatformMachine LearningResource Management
0 likes · 17 min read
Tencent Music Cloud‑Native One‑Stop Machine Learning Platform: Features and Future Roadmap
Cloud Native Technology Community
Cloud Native Technology Community
Jul 21, 2022 · Cloud Native

Simplify Kubeflow Deployment with kubeflow-chart: A Step‑by‑Step Guide

This article analyzes the difficulties of using vanilla Kubeflow for MLOps, introduces the kubeflow‑chart Helm chart that streamlines deployment and integrates tools like SQLFlow and kfpdist, and provides detailed installation commands and a roadmap of upcoming components for a full cloud‑native AI platform.

AI PlatformCloud NativeKubeflow
0 likes · 12 min read
Simplify Kubeflow Deployment with kubeflow-chart: A Step‑by‑Step Guide
HelloTech
HelloTech
May 26, 2022 · Artificial Intelligence

Hello's Automated Growth Algorithm Loop: C‑Side Scenarios, Challenges, and Active Growth Strategies

Hello’s automated C‑side growth algorithm loop integrates diverse traffic sources, semi‑supervised PU‑learning, graph‑based look‑alike targeting, causal uplift models for smart subsidies, and adaptive copy and external ad optimization, dramatically boosting ride‑hailing and lifestyle service revenue while minimizing engineering duplication.

AI PlatformMachine LearningRecommendation Systems
0 likes · 20 min read
Hello's Automated Growth Algorithm Loop: C‑Side Scenarios, Challenges, and Active Growth Strategies
ITPUB
ITPUB
Apr 27, 2022 · Artificial Intelligence

How 58’s WPAI Platform Boosted AI Resource Utilization by Over 50%

This article details the design and optimization of 58.com’s WPAI machine learning platform, covering background, training‑task scheduling, elastic inference scaling, offline‑online resource mixing, and model‑inference acceleration, and shows how these techniques collectively raised GPU usage by 51% and CPU usage by 38% while cutting costs.

AI PlatformGPU utilizationInference Acceleration
0 likes · 26 min read
How 58’s WPAI Platform Boosted AI Resource Utilization by Over 50%
DataFunSummit
DataFunSummit
Apr 26, 2022 · Artificial Intelligence

Elastic Distributed Training at Huya: Design, Implementation, and Results

This talk describes Huya’s elastic distributed training system, covering the motivation behind elasticity, its design using Kubernetes and ETCD for dynamic node registration and scaling, implementation details of the EFDL framework, performance evaluations on ResNet‑50, and the resulting benefits and future directions.

AI PlatformGPU schedulingHuya
0 likes · 11 min read
Elastic Distributed Training at Huya: Design, Implementation, and Results
DataFunTalk
DataFunTalk
Apr 23, 2022 · Artificial Intelligence

Elastic Distributed Training at Huya: Design, Implementation, and Results

This article describes Huya's elastic distributed training system, explaining why elasticity is needed, the architectural design using Kubernetes and ETCD, the dynamic scaling process, performance evaluations on ResNet‑50, and future improvements for more efficient and reliable AI model training.

AI PlatformGPU schedulingKubernetes
0 likes · 10 min read
Elastic Distributed Training at Huya: Design, Implementation, and Results
Kuaishou Tech
Kuaishou Tech
Nov 29, 2021 · Artificial Intelligence

Starry Vector Retrieval Platform: Architecture, Features, and Performance

The article describes the design, challenges, architecture, key features, algorithm optimizations, and future roadmap of Kuaishou's Starry vector retrieval platform, which delivers high‑performance, high‑reliability, and easy‑to‑use large‑scale ANN search for diverse business scenarios.

AI PlatformANNPerformance Optimization
0 likes · 14 min read
Starry Vector Retrieval Platform: Architecture, Features, and Performance
Alibaba Cloud Native
Alibaba Cloud Native
Oct 16, 2021 · Cloud Native

How Vivo Built a Hybrid‑Cloud AI Platform with Kubernetes and ACK

This article details how vivo AI's research institute created a hybrid‑cloud AI computing platform by integrating on‑premise bare‑metal servers with Alibaba Cloud ACK, using Kubernetes, Calico, and Terway to achieve elastic GPU resources, advanced storage features, and cost‑effective scaling for deep‑learning workloads.

AI PlatformCloud NativeKubernetes
0 likes · 10 min read
How Vivo Built a Hybrid‑Cloud AI Platform with Kubernetes and ACK
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 13, 2021 · Artificial Intelligence

Building Graph Algorithm Tasks on Tencent Cloud TI-ONE with Angel

This article introduces Tencent Cloud's TI-ONE AI platform, explains its built‑in Angel algorithm support, demonstrates how to visually construct a graph‑algorithm workflow such as GraphSage, and outlines the resource configuration, execution, and result retrieval process for developers.

AI PlatformAngelTI-ONE
0 likes · 8 min read
Building Graph Algorithm Tasks on Tencent Cloud TI-ONE with Angel
58 Tech
58 Tech
Nov 20, 2020 · Artificial Intelligence

Evolution and Practice of the 58.com AI Algorithm Platform (WPAI)

The article details the development, architecture, and optimization of 58.com’s AI algorithm platform (WPAI), covering its background, overall design, large‑scale distributed machine learning, deep‑learning platform features, inference performance enhancements, GPU resource scheduling improvements, and future directions.

AI PlatformGPU schedulingInference Optimization
0 likes · 15 min read
Evolution and Practice of the 58.com AI Algorithm Platform (WPAI)
JD Retail Technology
JD Retail Technology
Oct 21, 2020 · Artificial Intelligence

Galileo: A Distributed Graph Deep Learning Framework for Large‑Scale Industrial Scenarios

The article introduces Galileo, JD Retail's distributed graph deep‑learning platform that supports heterogeneous and dynamic graphs, ultra‑large scale training, flexible model customization, and seamless integration with TensorFlow and PyTorch, highlighting its architecture, core challenges, built‑in algorithms, and upcoming open‑source release.

AI Platformdistributed traininggraph embedding
0 likes · 11 min read
Galileo: A Distributed Graph Deep Learning Framework for Large‑Scale Industrial Scenarios
58 Tech
58 Tech
Aug 7, 2020 · Artificial Intelligence

Technical Overview of 58.com Intelligent Voice Analysis Platform

The article presents a comprehensive technical overview of 58.com’s intelligent voice analysis platform, detailing its business background, system architecture, speech and NLP technologies, speaker diarization methods, model performance, data labeling workflow, and practical applications in call‑center quality inspection and user profiling.

AI PlatformSpeech Recognitiondata labeling
0 likes · 11 min read
Technical Overview of 58.com Intelligent Voice Analysis Platform
Meituan Technology Team
Meituan Technology Team
Jul 16, 2020 · Artificial Intelligence

Augur: An Online Model Inference Framework and Poker Platform for Meituan Search

Meituan’s AI‑driven search combines the Augur online inference framework—offering stateless, distributed feature operators, transformers, and a DSL for rapid, high‑throughput model scoring—with the Poker platform for model training, versioning, and experimentation, together accelerating iteration, improving performance, and enabling advanced model‑as‑feature ensembles.

AI PlatformMachine LearningModel Serving
0 likes · 26 min read
Augur: An Online Model Inference Framework and Poker Platform for Meituan Search
Youzan Coder
Youzan Coder
Jun 17, 2020 · Artificial Intelligence

Sunfish: An Integrated AI Platform for Model Training and Online Service Deployment at Youzan

Sunfish is Youzan’s integrated AI platform that unifies visual drag‑and‑drop model training, notebook‑based algorithm development, automated model management and one‑click publishing with a low‑latency, high‑availability “small‑box” inference service, enabling end‑to‑end deep‑learning workflows from data exploration to online recommendation and risk‑control deployment.

AI PlatformMLOpsMachine Learning
0 likes · 17 min read
Sunfish: An Integrated AI Platform for Model Training and Online Service Deployment at Youzan
iQIYI Technical Product Team
iQIYI Technical Product Team
Jun 12, 2020 · Artificial Intelligence

Deepthought: An End‑to‑End Machine Learning Platform at iQIYI

Deepthought is iQIYI’s end‑to‑end machine‑learning platform that unifies distributed frameworks, decouples pipeline stages, integrates with Tongtian Tower, and offers visual drag‑and‑drop configuration, evolving from a fraud‑detection prototype to a generic system with real‑time inference, automated hyper‑parameter optimization, and support for large‑scale data across anti‑fraud, recommendation, and analytics workloads.

AI PlatformAutoMLMachine Learning
0 likes · 13 min read
Deepthought: An End‑to‑End Machine Learning Platform at iQIYI
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
Didi Tech
Didi Tech
Apr 2, 2020 · Artificial Intelligence

Interview: Didi AI’s DELTA – A Unified Framework for NLP and Speech Model Development

In this interview, Didi AI Labs’ Han Kun explains how the DELTA platform unifies TensorFlow‑based NLP and speech models—supporting tasks from text classification to voice emotion recognition—through a modular, easily deployable architecture, accelerating development, powering Didi products, and now open‑sourced for broader AI collaboration.

AI PlatformDeltaNLP
0 likes · 14 min read
Interview: Didi AI’s DELTA – A Unified Framework for NLP and Speech Model Development
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 10, 2019 · Artificial Intelligence

Why GNNs Matter: Inside Alibaba’s AliGraph Platform for Scalable Graph AI

The article introduces AliGraph, Alibaba’s comprehensive Graph Neural Network platform showcased at NeurIPS 2019, explaining its layered architecture, scalable graph engine, extensible operators, and real‑world applications across e‑commerce, security and cloud services, while highlighting performance gains, supported algorithms, and the strategic focus on GNN research and development.

AI PlatformAlibabaScalable Graph Computing
0 likes · 14 min read
Why GNNs Matter: Inside Alibaba’s AliGraph Platform for Scalable Graph AI
58 Tech
58 Tech
Nov 6, 2019 · Artificial Intelligence

TensorRT Acceleration and Integration Design for the 58 AI Platform (WPAI)

This article explains how the 58 AI platform leverages NVIDIA TensorRT to accelerate deep‑learning inference on GPUs, describes three integration approaches, details the TF‑TRT implementation and Kubernetes deployment, and presents performance gains for ResNet‑50 and OCR models.

AI PlatformGPU inferenceKubernetes deployment
0 likes · 7 min read
TensorRT Acceleration and Integration Design for the 58 AI Platform (WPAI)
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Oct 15, 2019 · Artificial Intelligence

How ModelArts Powers AI Development and Seamless Edge‑Cloud Deployment

This article reviews Huawei's ModelArts platform, detailing its data processing, algorithm development, high‑performance training, edge‑cloud model deployment, auto‑learning capabilities, and real‑world use cases such as invisible payment and intelligent waste classification, while outlining future ecosystem prospects.

AI PlatformAutoMLModelArts
0 likes · 14 min read
How ModelArts Powers AI Development and Seamless Edge‑Cloud Deployment
Tencent Cloud Developer
Tencent Cloud Developer
Sep 20, 2019 · Artificial Intelligence

Architecture of Tencent Cloud AI Platform (YunZhiTianshu) and AI Practices on Kubernetes

The article details Tencent Cloud’s YunZhiTianshu AI platform architecture—spanning Docker/Kubernetes infrastructure, storage, six micro‑service layers and API/message gateways—while explaining core module designs, unified algorithm packaging, device and data abstraction, and practical Kubernetes deployment techniques for GPU‑accelerated AI workloads, monitoring, scaling, and security.

AI PlatformGPUKubernetes
0 likes · 15 min read
Architecture of Tencent Cloud AI Platform (YunZhiTianshu) and AI Practices on Kubernetes
Didi Tech
Didi Tech
Aug 2, 2019 · Artificial Intelligence

How Didi’s Open‑Source DELTA Platform Accelerates NLP and Speech Model Development

At ACL 2019, Didi unveiled DELTA, an open‑source TensorFlow‑based training framework that unifies NLP and speech tasks, offers configurable pipelines, benchmark models, and seamless deployment, enabling AI developers to quickly move from research to production while leveraging Didi’s extensive open‑source ecosystem.

AI PlatformNLPOpen Source
0 likes · 6 min read
How Didi’s Open‑Source DELTA Platform Accelerates NLP and Speech Model Development
Didi Tech
Didi Tech
Jun 1, 2019 · Industry Insights

Inside Didi’s Intelligent Mobility Open Platform: AI Services, Data, and Future Roadmap

The article provides an in‑depth overview of Didi’s Intelligent Mobility Open Platform, detailing its AI foundation, open‑source projects, a suite of AI services for voice, vision, mapping and safety, three smart‑mobility solution tracks, and the company’s strategic plans to expand the platform globally.

AI PlatformAI servicesDidi
0 likes · 5 min read
Inside Didi’s Intelligent Mobility Open Platform: AI Services, Data, and Future Roadmap
360 Tech Engineering
360 Tech Engineering
Apr 24, 2019 · Artificial Intelligence

Introduction to Kubeflow and Its Installation Process

This article introduces Kubeflow, explains the typical machine‑learning model lifecycle, outlines Kubeflow’s core components and Kubernetes advantages, provides detailed server and storage configuration, walks through ksonnet and Kubeflow installation steps, and shows how to verify deployments and access the Kubeflow UI.

AI PlatformKubeflowKubernetes
0 likes · 6 min read
Introduction to Kubeflow and Its Installation Process