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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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Data Thinking Notes
Data Thinking Notes
Apr 6, 2025 · Artificial Intelligence

Why Mixture of Experts (MoE) is Revolutionizing Large AI Models

Mixture of Experts (MoE) leverages dynamic conditional computation and specialized expert networks to overcome the parameter explosion and inefficiency of dense models, offering scalable capacity, multi‑task adaptability, and improved efficiency, while addressing challenges such as training stability, communication overhead, and load balancing.

Dynamic RoutingMixture of Expertsdeep learning
0 likes · 7 min read
Why Mixture of Experts (MoE) is Revolutionizing Large AI Models
Data Thinking Notes
Data Thinking Notes
Apr 2, 2025 · Fundamentals

Unlocking Digital Transformation: Inside China’s New GB/T 45341‑2025 Reference Architecture

The GB/T 45341‑2025 national standard introduces a practical reference architecture and maturity model for digital transformation, guiding enterprises on what to do, how to do it, and providing a phased roadmap driven by value‑system reconstruction, new capabilities, and data‑centric implementation.

GB/T 45341digital transformationenterprise innovation
0 likes · 4 min read
Unlocking Digital Transformation: Inside China’s New GB/T 45341‑2025 Reference Architecture
Data Thinking Notes
Data Thinking Notes
Mar 30, 2025 · Artificial Intelligence

How DeepSeek‑R1 and Kimi‑K1.5 Push the Boundaries of Strong Reasoning Models

This comprehensive analysis by the Peking University AI Alignment team dissects the technical innovations behind DeepSeek‑R1, DeepSeek‑R1 Zero, and Kimi‑K1.5, covering reinforcement‑learning‑based post‑training, rule‑based rewards, GRPO optimization, scaling laws, multimodal extensions, safety challenges, and future research directions.

AI alignmentDeepSeekKimi
0 likes · 57 min read
How DeepSeek‑R1 and Kimi‑K1.5 Push the Boundaries of Strong Reasoning Models
Data Thinking Notes
Data Thinking Notes
Mar 27, 2025 · Artificial Intelligence

How DeepSeek AI Is Revolutionizing Government Services and Operations

DeepSeek's large language model is reshaping government work by enabling intelligent public services, streamlining office processes, enhancing city governance, and offering proactive policy push, smart hall assistants, knowledge management, automated workflows, and advanced risk‑warning systems, all backed by real‑world case studies and measurable impact metrics.

AIdigital transformationpublic services
0 likes · 21 min read
How DeepSeek AI Is Revolutionizing Government Services and Operations
Data Thinking Notes
Data Thinking Notes
Mar 19, 2025 · Big Data

How to Maximize Data Asset Value: From DataOps to Monetization

This report outlines a comprehensive framework for turning raw data into valuable assets, introducing DataOps and panoramic data architecture, and detailing practical methods for data value assessment, asset circulation, and operational mechanisms to help enterprises build a solid value baseline and expand data asset applications.

Data Asset ManagementDataOpsbig data
0 likes · 4 min read
How to Maximize Data Asset Value: From DataOps to Monetization
Data Thinking Notes
Data Thinking Notes
Mar 16, 2025 · Artificial Intelligence

Why DeepSeek R1 Swaps PPO for GRPO: A Deep Dive into RLHF Alternatives

DeepSeek‑R1 replaces the traditional PPO‑based RLHF approach with GRPO, reducing reliance on human‑labeled data by using pure reinforcement learning environments and carefully designed reward mechanisms; the article explains reinforcement learning fundamentals, compares PPO, DPO and GRPO, and offers practical application recommendations.

AI alignmentDPOGRPO
0 likes · 14 min read
Why DeepSeek R1 Swaps PPO for GRPO: A Deep Dive into RLHF Alternatives
Data Thinking Notes
Data Thinking Notes
Mar 9, 2025 · Artificial Intelligence

How DeepSeek R1 Uses Large‑Scale Reinforcement Learning to Rival OpenAI o1

DeepSeek R1, an open‑source large language model, leverages rule‑based, large‑scale reinforcement learning and mixed supervised‑fine‑tuning data to achieve deep reasoning comparable to OpenAI o1, illustrating China’s rapid AI progress, the importance of efficiency, and the democratizing impact of open AI research.

DeepSeekModel Efficiencyopen-source AI
0 likes · 11 min read
How DeepSeek R1 Uses Large‑Scale Reinforcement Learning to Rival OpenAI o1