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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 21, 2026 · Artificial Intelligence

Why OpenAI’s Open‑Source Codex Harness Could Redefine AI Integration for Developers

OpenAI has open‑sourced the Codex Harness framework, offering a full execution system that lets developers embed AI agents directly into their own tools, backed by benchmark gains, three ready‑to‑use components, and real‑world case studies that illustrate a shift away from generic chat interfaces.

CLICodex HarnessOpen Source
0 likes · 9 min read
Why OpenAI’s Open‑Source Codex Harness Could Redefine AI Integration for Developers
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 20, 2026 · Artificial Intelligence

How Ontology Drives AI Transformation: Lessons from Palantir’s Turnaround

The article explains why Ontology—structured business semantics, three‑layer models, and executable constraints—has become a mandatory foundation for enterprise AI, detailing its role in reducing LLM hallucinations, enabling safe AI agents, showcasing benchmark case studies, and providing a step‑by‑step roadmap for building, governing, and scaling Ontology in practice.

AIAI AgentData Governance
0 likes · 31 min read
How Ontology Drives AI Transformation: Lessons from Palantir’s Turnaround
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 20, 2026 · Industry Insights

Why AI Can't Do the Toughest Work in Ontology Product Implementation

The article explains that deploying AI, especially knowledge‑ontology solutions, is dominated by extensive business and interface research, planning, and scenario analysis—tasks that AI cannot automate—so most project time and budget are spent on manual investigation and integration rather than coding.

AI implementationbusiness analysisenterprise integration
0 likes · 8 min read
Why AI Can't Do the Toughest Work in Ontology Product Implementation
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 20, 2026 · Artificial Intelligence

Can You Query a Database Without Writing SQL? How NL2SQL Lets You Talk to Your Data

NL2SQL transforms natural language queries into executable SQL, enabling non‑technical users to retrieve data by simply speaking, and the article explains its workflow, evolution from rule‑based to large‑model approaches, current performance on the Spider benchmark, remaining challenges, and real‑world use cases.

AILarge Language ModelsNL2SQL
0 likes · 7 min read
Can You Query a Database Without Writing SQL? How NL2SQL Lets You Talk to Your Data
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 20, 2026 · Artificial Intelligence

Full Ontology Implementation Process: From Scenario Selection to Engineering Deployment

The article outlines a four‑step methodology for deploying ontologies in enterprise settings—starting with selecting a clear business scenario, analyzing requirements through rule, risk, validation and decision dimensions, mapping factors to data sources and interfaces, and establishing continuous validation, monitoring, and versioned iteration.

Business Knowledge ManagementKnowledge GraphRule Engine
0 likes · 8 min read
Full Ontology Implementation Process: From Scenario Selection to Engineering Deployment