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AsiaInfo Technology: New Tech Exploration

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Latest from AsiaInfo Technology: New Tech Exploration

87 recent articles

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.

ASTLLMcode question answering

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 LayerLow‑code Integrationenterprise AI

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 DetectionLSTM

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 platformai-optimization

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 memoryDistributed SystemsLLM

0 likes · 37 min read

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

AsiaInfo Technology: New Tech Exploration

May 19, 2025 · Artificial Intelligence

How WASP Generates High‑Quality DP Synthetic Data with Multi‑Model Collaboration

WASP is a privacy‑preserving framework that fuses multiple pretrained language models through a weighted Top‑Q voting scheme to synthesize differential‑private data, dramatically improving downstream task performance even when only a few private samples are available, and it scales to federated settings.

Multi-Model Fusiondifferential privacyfederated learning

0 likes · 19 min read

How WASP Generates High‑Quality DP Synthetic Data with Multi‑Model Collaboration

AsiaInfo Technology: New Tech Exploration

Apr 25, 2025 · Artificial Intelligence

How Evidence Generation Boosts Document-Grounded Dialogue with LLMs

This study introduces DGDE, a document‑grounded dialogue framework that leverages large language model‑generated evidence, combining retrieval, reranking, fine‑tuning, and iterative question correction to markedly improve accuracy, comprehensiveness, coherence, and completeness on the Doc2dial benchmark.

document-grounded dialogueevidence generationfine-tuning

0 likes · 21 min read

How Evidence Generation Boosts Document-Grounded Dialogue with LLMs