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Data Thinking Notes
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Data Thinking Notes

Sharing insights on data architecture, governance, and middle platforms, exploring AI in data, and linking data with business scenarios.

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Recent Articles

Latest from Data Thinking Notes

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Data Thinking Notes
Data Thinking Notes
Jul 8, 2025 · Artificial Intelligence

How Xiaohongshu Leverages Large Models to Revolutionize Content Recommendation

This article details Xiaohongshu's multi‑stage recommendation pipeline—using massive multi‑modal pre‑training, long‑sequence modeling, real‑time context features, reinforcement learning and online deep learning—to precisely surface valuable content, address cold‑start challenges, and break information bubbles for billions of users.

Large Language ModelMultimodal Learningonline deep learning
0 likes · 16 min read
How Xiaohongshu Leverages Large Models to Revolutionize Content Recommendation
Data Thinking Notes
Data Thinking Notes
Jul 6, 2025 · Artificial Intelligence

How Quantization Shrinks Giant AI Models for Edge Devices

This article explains why quantizing massive AI models is essential for deploying them on resource‑constrained devices, outlines core quantization concepts, techniques, and methods, compares their pros and cons, and presents practical application scenarios such as smartphones, autonomous driving, IoT, and edge computing.

AI DeploymentEdge AIPerformance optimization
0 likes · 9 min read
How Quantization Shrinks Giant AI Models for Edge Devices
Data Thinking Notes
Data Thinking Notes
Jun 29, 2025 · Artificial Intelligence

How to Build Effective Large Model Platforms: Challenges, Strategies, and Real‑World Cases

This report examines large model platforms as the engineering foundation for turning base models into business applications, outlines the full lifecycle toolchain, discusses key challenges such as technology selection and secure management, and provides practical case studies and strategic guidance for scalable, value‑driven deployment across industries.

AIStrategycase study
0 likes · 5 min read
How to Build Effective Large Model Platforms: Challenges, Strategies, and Real‑World Cases
Data Thinking Notes
Data Thinking Notes
Jun 24, 2025 · Artificial Intelligence

Anthropic’s Multi‑Agent Research System: Architecture, Lessons & 90% Performance Boost

Anthropic’s detailed post explains how its new Research feature uses a multi‑agent architecture with a lead coordinator and parallel sub‑agents, covering design principles, prompt engineering tricks, evaluation methods, production reliability challenges, and the substantial performance gains achieved over single‑agent baselines.

AI ArchitectureLLM researchevaluation methods
0 likes · 21 min read
Anthropic’s Multi‑Agent Research System: Architecture, Lessons & 90% Performance Boost
Data Thinking Notes
Data Thinking Notes
Jun 22, 2025 · Artificial Intelligence

What Powers the Rise of AI Agents? Inside the Tech Behind Agentic AI

This report explores the fundamentals, core technologies, leading platforms, current state, and future outlook of AI Agents and Agentic AI, detailing how large language models and mature infrastructure enable autonomous, reactive, proactive, and adaptive agents, and examines prominent projects such as Manus, Genspark, and Lovart.

AI agentsAgentic AIAutonomous Systems
0 likes · 5 min read
What Powers the Rise of AI Agents? Inside the Tech Behind Agentic AI
Data Thinking Notes
Data Thinking Notes
Jun 19, 2025 · Artificial Intelligence

Andrew Ng on Building Agentic AI Systems: Tools, MCP, and Practical Insights

In a candid conversation, Andrew Ng and Harrison Chase explore the evolving landscape of AI agents, discussing modular toolchains, the emerging MCP standard, challenges of agent‑to‑agent communication, voice interaction latency, and the importance of rapid, technically skilled execution for successful AI product development.

AI agentsLangChainMCP
0 likes · 19 min read
Andrew Ng on Building Agentic AI Systems: Tools, MCP, and Practical Insights
Data Thinking Notes
Data Thinking Notes
Jun 15, 2025 · Artificial Intelligence

Mastering Fine-Tuning: From Basics to Advanced Techniques for Large Language Models

Fine‑tuning transforms a general‑purpose large language model into a domain‑specific expert by training on a small, labeled dataset, and this guide explains its background, core concepts, technical mechanisms, various methods—including full‑parameter, LoRA, adapters, and prompt tuning—plus practical use cases, advantages, challenges, and best‑practice recommendations.

AILoRAParameter Efficient
0 likes · 13 min read
Mastering Fine-Tuning: From Basics to Advanced Techniques for Large Language Models
Data Thinking Notes
Data Thinking Notes
Jun 11, 2025 · Artificial Intelligence

How RAG‑Powered AI Boosted Government Data Labeling Efficiency by 5×

This case study details how a government‑focused AI system using retrieval‑augmented generation (RAG) and advanced preprocessing algorithms increased data labeling speed by up to five times, raised accuracy above 95%, and produced high‑quality enterprise, spatial, and economic datasets.

AIAutomationGovernment
0 likes · 5 min read
How RAG‑Powered AI Boosted Government Data Labeling Efficiency by 5×
Data Thinking Notes
Data Thinking Notes
Jun 10, 2025 · Artificial Intelligence

Unlocking AI Agents: Architecture, Tools, and Real‑World Applications

This article provides a comprehensive overview of generative AI agents, detailing their core components—model, tools, and orchestration layer—explaining cognitive architectures, tool types, learning strategies, and practical development with LangChain and Vertex AI, while highlighting future prospects and challenges.

AI AgentLangChainTool Integration
0 likes · 24 min read
Unlocking AI Agents: Architecture, Tools, and Real‑World Applications
Data Thinking Notes
Data Thinking Notes
Jun 8, 2025 · Artificial Intelligence

Explore the Complete AI Large Model Technology Landscape: Architecture Diagrams Across Industries

This article presents a panoramic view of AI large‑model technologies, showcasing a series of architecture diagrams that illustrate general model frameworks, RAG knowledge‑base structures, agricultural and retail applications, IoT integration, compliance and risk‑management setups, agent platforms, and CRM‑enhanced solutions.

AIArchitectureIndustry Applications
0 likes · 3 min read
Explore the Complete AI Large Model Technology Landscape: Architecture Diagrams Across Industries