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AI Large-Model Wave and Transformation Guide
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AI Large-Model Wave and Transformation Guide

Focuses on the latest large-model trends, applications, technical architectures, and related information.

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Latest from AI Large-Model Wave and Transformation Guide

71 recent articles
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 15, 2026 · Artificial Intelligence

Master the 2026 AI Writing Workflow: Multi‑Model Strategy for Pro Authors

The article outlines a stage‑by‑stage AI workflow for professional novel writers in 2026, detailing how specialized models like Doubao, GPT‑4o, DeepSeek, GLM‑4, Claude, and Kimi are combined to boost creativity, logical structure, prose quality, long‑form consistency, and to eliminate AI footprints.

AI WritingArtificial Intelligencemodel comparison
0 likes · 6 min read
Master the 2026 AI Writing Workflow: Multi‑Model Strategy for Pro Authors
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 14, 2026 · Industry Insights

Why GLM‑5.1’s Open‑Source Release Challenges GPT‑4o and Shifts the AI Landscape

The article reviews GLM‑5.1’s full open‑source launch with a 5‑million‑token context and benchmark scores rivaling GPT‑4o, examines the 300% API usage surge for domestic models after US API bans, and outlines upcoming roadmaps from Musk, OpenAI, Meta, Google, Tencent, Alibaba, and Huawei, while highlighting China’s lead in AI compute, record‑high global AI investment, and the UN’s new AI governance fund.

AI InvestmentAI ModelsIndustry trends
0 likes · 14 min read
Why GLM‑5.1’s Open‑Source Release Challenges GPT‑4o and Shifts the AI Landscape
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 13, 2026 · Industry Insights

What’s Driving China’s AI Boom? New Models, API Shifts, and Market Trends

A comprehensive industry roundup reveals Baidu’s multimodal Wenxin 5.0 launch, massive migration to domestic AI APIs after US restrictions, explosive growth of Zhipu’s AutoGLM marketplace, major funding for Elon Musk’s xAI, Meta’s Chinese Llama 4 surge, Google Gemini’s user spike, Huawei’s Ascend 910D chip specs, SenseTime’s medical‑AI approval, the formation of a China AI open‑source alliance, EU AI‑law penalties, record Chinese AI patent filings, and the UN’s new AI‑governance roadmap.

AI industryChina AIRegulation
0 likes · 13 min read
What’s Driving China’s AI Boom? New Models, API Shifts, and Market Trends
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 12, 2026 · Industry Insights

How to Choose the Right Large Language Model in 2025: A Six‑Dimension Guide

This article analyzes the rapid growth of large language models, presents a six‑dimensional classification framework, compares open‑source and closed‑source options, and offers a step‑by‑step selection checklist for enterprises seeking the most suitable model for their specific needs.

AI DeploymentAI trendsEnterprise AI
0 likes · 10 min read
How to Choose the Right Large Language Model in 2025: A Six‑Dimension Guide
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 11, 2026 · Artificial Intelligence

How to Engineer Reliable AI Models: From Infrastructure to Deployment

This article presents a comprehensive, step‑by‑step framework for turning laboratory AI models into production‑ready systems, covering capability mapping, technology stack choices, model selection, prompt engineering, data pipelines, training strategies, and cross‑team collaboration to ensure stability, observability, and trustworthiness.

AI model engineeringRAGdata pipeline
0 likes · 14 min read
How to Engineer Reliable AI Models: From Infrastructure to Deployment
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 11, 2026 · Artificial Intelligence

How to Build a Full‑Cycle Model Engineering System for Scalable AI

This article outlines a comprehensive, six‑part model engineering framework that transforms AI capabilities into reusable business functions, defines a stable technical stack, establishes model selection and architecture guidelines, implements rigorous control, data, and training processes, and explains how these layers synergize for reliable, scalable deployment.

AI DeploymentRAGdata pipeline
0 likes · 27 min read
How to Build a Full‑Cycle Model Engineering System for Scalable AI
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 11, 2026 · Industry Insights

Why China’s AI Model Usage Surpassed the US: Key Trends and Market Shifts

A comprehensive industry roundup reveals that Chinese AI models have led global token usage for five weeks, new domestic app stores are generating million‑yuan developer revenue, US giants are restricting China IP access, and major funding, product launches, policy moves, and AI governance initiatives are reshaping the global AI landscape.

AI industryChinaTechnology policy
0 likes · 11 min read
Why China’s AI Model Usage Surpassed the US: Key Trends and Market Shifts
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 9, 2026 · Industry Insights

Why China’s Qwen 3.6 Plus Leads Global LLM Usage and What It Means for AI

The article analyzes recent AI industry developments, highlighting Qwen 3.6 Plus topping global LLM call‑volume rankings, DeepSeek V4’s new 3‑million‑token context window and pricing, US giants sharing an adversarial‑distillation database, Zhipu GLM‑5.1’s long‑task capabilities, regulatory moves in China, and the shifting token‑driven economics shaping the market.

AIAI ethicsChina
0 likes · 12 min read
Why China’s Qwen 3.6 Plus Leads Global LLM Usage and What It Means for AI
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Apr 8, 2026 · Industry Insights

What’s Driving the Latest AI Industry Shake‑ups? From Alibaba’s Reorg to Global Token Wars

This roundup analyzes recent AI industry moves—including Alibaba’s sweeping organizational overhaul, a rare US AI‑giant alliance to curb Chinese competition, DeepSeek’s V4 launch, Zhipu’s GLM‑5.1 performance boost, Google’s 2027 AI production forecast, Anthropic’s Project Glasswing, new Chinese AI ethics rules, a massive Guangdong compute cluster, the open‑source SentiAvatar framework, soaring model‑stock prices, a token‑economy shift, and China’s first panoramic carbon‑accounting model—highlighting their strategic implications and concrete details.

AIAI ethicscloud computing
0 likes · 11 min read
What’s Driving the Latest AI Industry Shake‑ups? From Alibaba’s Reorg to Global Token Wars