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AsiaInfo Technology: New Tech Exploration

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Latest from AsiaInfo Technology: New Tech Exploration

89 recent articles

AsiaInfo Technology: New Tech Exploration

Sep 16, 2025 · Industry Insights

Can Ontology Bridge the Gap Between Large Language Models and Executable Code?

This article analyzes how combining ontology with large language models can create a new intelligent application development paradigm that unites semantic understanding and executable behavior, proposing a three‑layer architecture, a Model Control Protocol, and real‑world case studies to illustrate its potential and challenges.

AI integrationSoftware Architectureknowledge representation

0 likes · 22 min read

Can Ontology Bridge the Gap Between Large Language Models and Executable Code?

AsiaInfo Technology: New Tech Exploration

Sep 11, 2025 · Artificial Intelligence

How AST Boosts LLM‑Powered Code Question Answering: Theory, Practice, and Future Directions

This article explores how abstract syntax trees (AST) can enrich large language model (LLM) based code question‑answering by providing precise structural context, detailing LLM strengths and limits, describing AST‑LLM collaboration, RAG integration, cutting‑edge models, practical tooling, challenges, standardisation efforts, and future research avenues.

ASTLLMRAG

0 likes · 30 min read

How AST Boosts LLM‑Powered Code Question Answering: Theory, Practice, and Future Directions

AsiaInfo Technology: New Tech Exploration

Sep 8, 2025 · Artificial Intelligence

Unlocking Precise Code Q&A: How ASTs Power AI-Driven Development

With software systems growing ever more complex, traditional text‑based code search falls short; this article explains how abstract syntax trees (AST) provide deeper structural understanding, improve query precision, enable advanced features like control‑flow analysis and knowledge‑graph construction, and outlines a full architecture for building AI‑enhanced code question‑answering systems.

ASTLLMStatic analysis

0 likes · 33 min read

Unlocking Precise Code Q&A: How ASTs Power AI-Driven Development

AsiaInfo Technology: New Tech Exploration

Aug 22, 2025 · Industry Insights

How Business Semantic Layers Bridge Data and Large Models: Techniques and Roadmap

This article examines the rise of business semantic layers as a core enterprise infrastructure, detailing ontology construction, low‑code integration, prompt engineering, tool‑set design, implementation challenges, and future trends for tightly coupling data lakes with large language models.

Business Semantic LayerEnterprise AILow‑code Integration

0 likes · 27 min read

How Business Semantic Layers Bridge Data and Large Models: Techniques and Roadmap

AsiaInfo Technology: New Tech Exploration

Aug 8, 2025 · Industry Insights

How CodeRAG Reinvents Large‑Scale Code Repository Knowledge Extraction and Hierarchical Retrieval

CodeRAG leverages AST‑centric parsing and a hierarchical knowledge graph to overcome text‑only retrieval limits in large code repositories, offering multi‑language analysis, incremental parsing, hybrid indexing, and intelligent context selection for tasks such as code completion, Q&A, documentation generation, and impact analysis.

ASTCodeRAGLarge-Scale Repos

0 likes · 15 min read

How CodeRAG Reinvents Large‑Scale Code Repository Knowledge Extraction and Hierarchical Retrieval

AsiaInfo Technology: New Tech Exploration

Jul 30, 2025 · Artificial Intelligence

How MCP‑RAG Overcomes Prompt Inflation for Massive LLM Service Calls

This article analyzes the prompt‑inflation bottleneck that arises when large language models (LLMs) must handle thousands of Model Context Protocol (MCP) services, and introduces the MCP‑RAG architecture—a retrieval‑augmented generation solution that builds a metadata knowledge base and intelligent retrieval layer to enable precise, efficient MCP service discovery at scale.

AILLMMCP

0 likes · 21 min read

How MCP‑RAG Overcomes Prompt Inflation for Massive LLM Service Calls

AsiaInfo Technology: New Tech Exploration

Jul 25, 2025 · Artificial Intelligence

How to Master Time Series Forecasting for Cloud CPU Anomaly Detection

This article systematically explores the principles and mathematics behind ARIMA, XGBoost, LSTM, and Transformer models, compares their strengths and weaknesses, and demonstrates a complete end‑to‑end workflow for detecting CPU resource anomalies in a cloud service environment.

ARIMAAnomaly DetectionCloud Monitoring

0 likes · 12 min read

How to Master Time Series Forecasting for Cloud CPU Anomaly Detection

AsiaInfo Technology: New Tech Exploration

Jul 11, 2025 · Industry Insights

How 5G‑A Passive IoT Is Redefining Massive Connectivity

This article examines the principles, breakthroughs, and future prospects of 5G‑A passive (Ambient) IoT, detailing its energy‑harvesting and backscatter communication techniques, cellular deployment scenarios, key performance metrics, typical network architectures, and real‑world applications such as warehouse inventory, logistics tracking, and access control.

5G-AAmbient IoTCellular IoT

0 likes · 16 min read

How 5G‑A Passive IoT Is Redefining Massive Connectivity

AsiaInfo Technology: New Tech Exploration

Jun 23, 2025 · Artificial Intelligence

How Generative Data‑Driven Model Distillation Boosts Large‑Model Performance and Cuts Compute

This article examines generative data‑driven model distillation as a technique that not only compresses large language models but also improves their accuracy, addresses data‑privacy constraints, and reduces computational costs, offering a practical roadmap and real‑world results from a corporate AI platform.

Knowledge TransferMaaS platformSynthetic Data

0 likes · 22 min read

How Generative Data‑Driven Model Distillation Boosts Large‑Model Performance and Cuts Compute

AsiaInfo Technology: New Tech Exploration

Jun 16, 2025 · Artificial Intelligence

How LangGraph Implements Shared Memory for Multi‑Agent Systems: Techniques, Tools, and Future Directions

This article examines the theory and practice of shared memory in multi‑agent systems, tracing its evolution from classic blackboard models to modern solutions like Mem0.ai, Open Memory, and A‑MEM, and provides concrete design patterns, integration strategies, and future research directions for LangGraph users.

AI memoryLLMLangGraph

0 likes · 37 min read

How LangGraph Implements Shared Memory for Multi‑Agent Systems: Techniques, Tools, and Future Directions