Mastering the Boundaries of Probability: Understanding and Engineering Governance of Hallucination Risks in LLM Deployment

Core Perspective : In enterprise-grade AI implementation, a clear understanding is essential —  not all errors are “hallucinations,” nor are...

Read more →

Best Practices for Generative AI Application Data Management in Enterprises: Empowering Intelligent Governance and Compliance

With the widespread use of generative AI technologies, such as large language models, across various industries, AI data management has beco...

Read more →

HaxiTAG Deck: The Core Value and Implementation Pathway of Enterprise-Level LLM GenAI Applications

In the rapidly evolving landscape of generative AI (GenAI) and large language model (LLM) applications, enterprises face a critical challeng...

Read more →

The Evolution of Enterprise AI Applications: Organizational Restructuring and Value Realization

— An In-Depth Analysis Based on McKinsey’s The State of AI: How Organizations Are Rewiring to Capture Value (March 12, 2025) and HaxiTAG’s ...

Read more →

Practical Testing and Selection of Enterprise LLMs: The Importance of Model Inference Quality, Performance, and Fine-Tuning

In the course of modern enterprises' digital transformation, adopting large language models (LLMs) as the infrastructure for natural lan...

Read more →