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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

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AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 28, 2026 · Industry Insights

Why Palantir’s Ontology Grows Instead of Being Designed

The article explains how Palantir’s ontology is not pre‑designed but gradually emerges from a massive, long‑running data‑engineering foundation that continuously ingests structured business systems, accumulates common patterns, and turns raw data into a platform‑wide semantic layer that drives actions.

Data EngineeringEnterprise Knowledge GraphFoundry
0 likes · 10 min read
Why Palantir’s Ontology Grows Instead of Being Designed
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 27, 2026 · Industry Insights

From Stone Tags to AI: A Brief History of Ontology and Who Defines Reality

The article traces ontology from a 70,000‑year‑old stone marking, through Aristotle's categories, medieval theological arguments, Descartes' dualism, modern knowledge graphs, Palantir's action‑oriented models, and large language models, showing how each era reshapes who gets to define what is real.

AIEnterprise AIKnowledge Graph
0 likes · 33 min read
From Stone Tags to AI: A Brief History of Ontology and Who Defines Reality
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 27, 2026 · Industry Insights

When Your Boss Says AI-Generated Plans Are Better: Unpacking the Cognitive Bias

The article explains why a manager’s belief that AI‑written proposals outperform human experts is a cognitive bias, illustrating the gap between demo‑level outputs and production‑grade requirements, the limits of large language models in depth, error propagation across decision nodes, and provides practical rebuttal scripts.

AILarge Language ModelsProduct Development
0 likes · 7 min read
When Your Boss Says AI-Generated Plans Are Better: Unpacking the Cognitive Bias
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 26, 2026 · Industry Insights

What Scenarios Can OntoFlow’s Ontology Platform Power? Building a Business World, Not Just an App

OntoFlow transforms traditional enterprise software by first constructing a unified ontology of objects, relationships, states, rules, and actions, then generating a wide range of applications—from operational dashboards and real‑time monitoring to root‑cause analysis, supply‑chain optimization, digital twins, and AI‑driven decision systems—within a single, continuously updated business world.

AI IntegrationDigital TwinKnowledge Graph
0 likes · 13 min read
What Scenarios Can OntoFlow’s Ontology Platform Power? Building a Business World, Not Just an App
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 24, 2026 · Industry Insights

How Ontology Platforms Bridge Data, Business, and AI as a Semantic Foundation

The article explains what an ontology platform is, why enterprises need it to close the semantic gap between data and business, evaluates core technical capabilities, reviews the market landscape, and offers a step‑by‑step selection guide for building a robust Data+AI semantic infrastructure.

Data+AIEnterprise ArchitectureKnowledge Graph
0 likes · 17 min read
How Ontology Platforms Bridge Data, Business, and AI as a Semantic Foundation
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 24, 2026 · Artificial Intelligence

MOGICK: A Codex‑Style AI Agent that Automates Full‑Cycle Equipment Design

MOGICK, a new high‑level AI agent from Tongyuan SoftControl, combines a Codex‑like natural‑language interface with an Agent engine to autonomously perform requirement analysis, architecture design, geometry modeling, system simulation, and task validation for complex equipment, illustrated by a Mars sampling mission case study.

AI AgentAI maturity modelIndustrial AI
0 likes · 10 min read
MOGICK: A Codex‑Style AI Agent that Automates Full‑Cycle Equipment Design
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 23, 2026 · Artificial Intelligence

Why AI Projects Look Great but Perform Poorly? A Practitioner’s Deep Retrospective

The article analyzes why AI projects that shine in proof‑of‑concepts often falter in production, highlighting four core challenges—probabilistic uncertainty, data quality, engineering complexity, and misleading accuracy metrics—and proposes four practical ways to break through these obstacles.

AI deploymentData GovernanceMLOps
0 likes · 13 min read
Why AI Projects Look Great but Perform Poorly? A Practitioner’s Deep Retrospective
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 21, 2026 · Artificial Intelligence

OntoL Product – Case Study #6: Project Info Query and Risk Analysis

The author recounts a client visit where, after previous unsatisfactory AI deployments, they analyze the client’s existing database schemas, use the OntoL ontology platform together with the Qianwen large‑language model to generate a semantic model for project‑contract‑payment queries, approval tracking, and risk identification, configuring an Oracle data source and customizing DSL functions to enable interactive analysis.

AIOracleontology
0 likes · 4 min read
OntoL Product – Case Study #6: Project Info Query and Risk Analysis