Tagged articles
12 articles
Page 1 of 1
Aikesheng Open Source Community
Aikesheng Open Source Community
Mar 9, 2026 · Artificial Intelligence

Why Traditional AI Benchmarks Fail and How SCALE Redefines SQL LLM Evaluation

The article examines the shortcomings of conventional AI evaluation methods, introduces the concept of an "unknown" risk in production settings, and presents SCALE—a continuously updated, high‑fidelity benchmark that stresses large‑model SQL capabilities with real‑world incident data and mixed objective‑subjective scoring.

AI EvaluationModel SelectionSQL benchmark
0 likes · 11 min read
Why Traditional AI Benchmarks Fail and How SCALE Redefines SQL LLM Evaluation
Aikesheng Open Source Community
Aikesheng Open Source Community
Nov 10, 2025 · Artificial Intelligence

Ling‑1T vs Ring‑1T: SQL Optimization, Dialect Conversion & Understanding

October 2025’s SCALE report introduces Ant Bailing’s trillion‑parameter models Ling‑1T and Ring‑1T, evaluates them across three dimensions—SQL optimization, dialect conversion, and SQL understanding—reveals Ling‑1T’s strength in domestic database conversion and Ring‑1T’s balanced performance, and provides expert commentary on their implications for AI‑driven database solutions.

AI modelsLing-1TRing-1T
0 likes · 13 min read
Ling‑1T vs Ring‑1T: SQL Optimization, Dialect Conversion & Understanding
Qborfy AI
Qborfy AI
Aug 12, 2025 · Artificial Intelligence

What Powers Large Language Models? A Deep Dive into LLM Architecture and Scaling

This article explains how massive Transformer‑based large language models compress text data into mathematical representations, why scale, self‑attention, and training paradigms enable emergent general intelligence, and walks through tokenization, embedding, multi‑layer attention, architecture choices, energy costs, and hallucination mitigation.

AIEmbeddingLLM
0 likes · 6 min read
What Powers Large Language Models? A Deep Dive into LLM Architecture and Scaling
Efficient Ops
Efficient Ops
Jan 28, 2024 · Operations

Can One Person Really Manage 40,000 Servers? Real‑World Ops Insights

A collection of Zhihu contributors share practical experiences and opinions on whether a single operations engineer can handle the massive scale of 40,000 servers, covering workload, automation gaps, budgeting, hardware failure rates, and the necessity of team‑based high‑availability practices.

InfrastructureSREScale
0 likes · 9 min read
Can One Person Really Manage 40,000 Servers? Real‑World Ops Insights
DevOps
DevOps
Dec 8, 2022 · R&D Management

Microsoft’s Sixteen Keys to Scaling Agile Across Thousands of Developers

The article outlines Microsoft’s experience and practical guidance for implementing large‑scale Agile and Scrum across a 4,000‑person development organization, emphasizing coordination, autonomy, continuous integration, DevOps, and leadership support to achieve sustainable, customer‑focused delivery.

DevOpsScaleagile
0 likes · 22 min read
Microsoft’s Sixteen Keys to Scaling Agile Across Thousands of Developers
DevOps
DevOps
Oct 8, 2021 · R&D Management

Scale Innovation Roadmap for Large Organizations: From Innovation 1.0 to 3.0

The article outlines a three‑stage roadmap—Innovation 1.0, 2.0, and 3.0—detailing how large enterprises can systematically build, scale, and sustain innovation through strategic alignment, cultural cultivation, diversified innovation models, closed‑loop mechanisms, and ecosystem partnerships.

InnovationR&DScale
0 likes · 16 min read
Scale Innovation Roadmap for Large Organizations: From Innovation 1.0 to 3.0
DevOps
DevOps
Sep 8, 2021 · R&D Management

Key Elements for Scaling Innovation in Large Organizations

The article outlines five essential factors—strategic leadership, cultural alignment, mechanism assurance, platform empowerment, and collaborative ecosystems—that enable large enterprises to achieve scalable, sustainable innovation, illustrated with case studies from Tencent, Alibaba, 3M, and others.

CultureEcosystemInnovation
0 likes · 21 min read
Key Elements for Scaling Innovation in Large Organizations
21CTO
21CTO
Sep 7, 2018 · Backend Development

Why Scaling Web Crawlers Is Harder Than You Think: Lessons from 1,000B Pages

This article outlines the major challenges of large‑scale e‑commerce product data extraction—such as ever‑changing site formats, scalable architecture, performance throughput, anti‑bot defenses, and data quality—and shares the hard‑won lessons Scrapinghub gained after crawling over a trillion product pages.

Data ExtractionScaleScrapy
0 likes · 15 min read
Why Scaling Web Crawlers Is Harder Than You Think: Lessons from 1,000B Pages
DevOpsClub
DevOpsClub
Feb 27, 2018 · Operations

How Nationwide Scaled DevOps: Lessons from a Fortune 500 Insurance Giant

This article examines Nationwide's multi‑year DevOps transformation—detailing its massive IT organization, phased climbing‑metaphor roadmap, leadership and support models, concrete experiments that boosted developer experience and lead‑time, and a real‑world success during Hurricane Harvey.

DevOpsInsuranceScale
0 likes · 18 min read
How Nationwide Scaled DevOps: Lessons from a Fortune 500 Insurance Giant