Large language models are undeniably smart, but why do they still “hallucinate” at the most critical moments? A risk-control model spits out a plausible regulat...

In the process of enterprise-grade AI application deployment, Data Intelligence is not merely a "supporting layer" — it is the "master system that determines th...

If today’s AI is the hottest weapon in corporate competition, then data is its ammunition. But the reality is that many enterprises have “arsenals” overflowing ...

A Deep Dive into the 2025 State of AI Report As generative AI moves from labs into industry deep waters, the key challenge facing every tech enterprise is no lo...

As a world-leading AI research institution, OpenAI has launched several significant feature updates at DevDay 2024, aimed at promoting the application and devel...

With the rapid advancement of artificial intelligence technology, large language models (LLMs) have become one of the most prominent technologies today. LLMs no...

In modern enterprise AI applications, building data and AI intelligence capabilities is crucial for technological breakthroughs. The HaxiTAG Intelligent Applica...

In the vast realms of artificial intelligence and natural language processing, embedding models serve as a bridge connecting the cold logic of machines with the...

With the advancement of deep learning technologies, foundational models have become critical pillars in the field of artificial intelligence. These models are p...

This article explores the transformative potential of Large Language Models (LLMs) and Generative AI (GenAI) across various intelligent software applications. I...