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

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AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jun 4, 2026 · Artificial Intelligence

How to Use Codex + Image2 for a Controlled, Editable AI‑Generated PPT – Step‑by‑Step Guide

This article presents a four‑stage workflow that uses Codex to extract content, Image2 to explore visual styles, high‑resolution visual drafts, and a mixed‑reconstruction strategy to produce fully editable PPTX files, complete with prompt examples, validation criteria, and common pitfalls.

AICodexImage2
0 likes · 17 min read
How to Use Codex + Image2 for a Controlled, Editable AI‑Generated PPT – Step‑by‑Step Guide
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jun 2, 2026 · Industry Insights

How Ontology Shapes High‑End ERP Architecture: Unified Semantics and Business Object Hierarchies

The article examines why ontology has become a buzzword in China's AI era and how a rigorous ontology‑driven approach can unify semantics, bridge business object hierarchies, and influence the technical, data, application, and security layers of high‑end ERP systems, contrasting domestic solutions with SAP and Palantir.

AIBusiness ArchitectureERP
0 likes · 11 min read
How Ontology Shapes High‑End ERP Architecture: Unified Semantics and Business Object Hierarchies
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jun 1, 2026 · Artificial Intelligence

Palantir AIP: Enabling Compliant Large‑Model Kill Chains on Secure Battlefields

Palantir’s AIP platform tackles the four rigid constraints of classified warfare—data silos, network isolation, strict permissions, and irreversible consequences—by delivering a compliant, auditable large‑model framework that fuses data, enforces fine‑grained access, and provides full‑traceability, demonstrated through an end‑to‑end Eastern‑European border combat simulation.

AIPLarge ModelsPalantir
0 likes · 12 min read
Palantir AIP: Enabling Compliant Large‑Model Kill Chains on Secure Battlefields
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jun 1, 2026 · Industry Insights

Comparing the US Military’s 7 Core Modeling & Simulation Tools from Threat Generation to Theater‑Level Ops

The article explains why modern warfare relies on Modeling & Simulation, then systematically compares seven US military simulation platforms—AFSIM, COMMANDER, STK, NGTS, OneSAF, VBS4, and JTLS‑GO—detailing the problems each solves, their simulation granularity, typical applications, core strengths, developers, and how they complement each other across entity, mission, tactical, and theater levels.

AFSIMM&SSTK
0 likes · 7 min read
Comparing the US Military’s 7 Core Modeling & Simulation Tools from Threat Generation to Theater‑Level Ops
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jun 1, 2026 · Artificial Intelligence

How to Build High‑Quality AI Datasets: Standards, Templates, and Practical Steps

This guide walks AI engineers and project leaders through the full lifecycle of high‑quality dataset creation—from defining requirements and setting annotation standards to data collection, preprocessing, labeling, augmentation, evaluation, and continuous iteration—providing concrete metrics, compliance rules, and tool recommendations to avoid common pitfalls.

AI datasetModel Evaluationannotation standards
0 likes · 16 min read
How to Build High‑Quality AI Datasets: Standards, Templates, and Practical Steps
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jun 1, 2026 · Artificial Intelligence

Palantir vs OntoFlow: A Six‑Level Ontology Intelligence Map from Knowledge Graphs to World OS

The article presents a six‑level capability ladder for ontology‑based intelligence, compares Palantir Foundry’s strengths at each level with OntoFlow’s features, and explains how OntoFlow’s World Runtime and emerging World OS aim to move beyond data visualization toward dynamic, time‑aware, causal simulation for supply‑chain, logistics, risk and military scenarios.

AIKnowledge GraphPalantir
0 likes · 18 min read
Palantir vs OntoFlow: A Six‑Level Ontology Intelligence Map from Knowledge Graphs to World OS
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jun 1, 2026 · Industry Insights

AI Weekly Roundup (May 25‑31 2026): OpenAI Solves 80‑Year Math Problem, Anthropic Hits $109B Revenue and $300B Funding, Plus Major Industry Moves

From OpenAI's autonomous proof of the 80‑year‑old Erdős unit‑distance conjecture to Anthropic's $109 billion Q2 revenue, a $300 billion financing round surpassing OpenAI, OpenAI's confidential IPO filing, the Pope's first AI encyclical, Karpathy joining Anthropic, Google Gemini's creative‑tool integration, a revamped Google Search bar, Intuit's 17% layoff, and new AI safety guidelines, this week’s AI landscape is reshaped by breakthroughs, funding milestones, and policy shifts.

AI industryAI policyAnthropic
0 likes · 11 min read
AI Weekly Roundup (May 25‑31 2026): OpenAI Solves 80‑Year Math Problem, Anthropic Hits $109B Revenue and $300B Funding, Plus Major Industry Moves

How to Solve Data Governance + AI Agent Pitfalls: Agent Roles, NL2SQL Datasets, and Rule Templates Explained

The article analyzes why data‑governance projects still fail when combined with AI, presents a four‑layer NL2SQL architecture, details agent responsibilities, metadata‑governance methods, anomaly‑diagnosis and permission‑control flows, outlines dataset‑building stages, evaluation metrics, and provides a step‑by‑step rollout roadmap.

AI AgentAnomaly DetectionDataset Construction
0 likes · 21 min read
How to Solve Data Governance + AI Agent Pitfalls: Agent Roles, NL2SQL Datasets, and Rule Templates Explained