Tag

agent architecture

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TAL Education Technology
TAL Education Technology
Jun 13, 2025 · Operations

How Large Language Models Are Revolutionizing Fault Localization

This article explores how the rapid rise of large language models and techniques like Retrieval‑Augmented Generation, Chain‑of‑Thought prompting, and multi‑agent architectures can dramatically improve the speed, accuracy, and automation of fault localization in modern operations environments.

CoTRAGagent architecture
0 likes · 14 min read
How Large Language Models Are Revolutionizing Fault Localization
DaTaobao Tech
DaTaobao Tech
Jun 6, 2025 · Artificial Intelligence

Redefining Business Core Assets in the LLM Era: Agent Evolution & Collaboration

This article examines how the rise of large language models reshapes core business assets, defines agents and tools, explores multi‑agent collaboration patterns, task allocation and conflict resolution mechanisms, and evaluates the MCP protocol and engineering requirements for building scalable, flexible agent platforms.

LLMMCP protocolMulti-Agent Collaboration
0 likes · 9 min read
Redefining Business Core Assets in the LLM Era: Agent Evolution & Collaboration
JD Tech
JD Tech
May 8, 2025 · Artificial Intelligence

The Emerging Boom of Large Model Applications and Why 2025 Will Be the Turning Point

Amid the AI wave, large language models like DeepSeek R1 are poised to explode by 2025, driven by open-source, low-cost access and superior reasoning, with successful deployment requiring four key factors—domain expertise, knowledge bases, robust search, and engineered agent architectures—to unlock value beyond simple chat.

2025AI applicationsDeepSeek
0 likes · 10 min read
The Emerging Boom of Large Model Applications and Why 2025 Will Be the Turning Point
Architecture and Beyond
Architecture and Beyond
Apr 5, 2025 · Artificial Intelligence

Why Defining Problem Boundaries Is Crucial for Effective AI Agents

The article discusses how defining clear problem boundaries is essential for AI agents, explains the challenges of vague tasks for large language models, and proposes multi‑stage decomposition, self‑reflection, and human‑in‑the‑loop strategies to improve AI performance on complex, dynamic tasks.

AILarge Language ModelsTask Decomposition
0 likes · 13 min read
Why Defining Problem Boundaries Is Crucial for Effective AI Agents
Architect
Architect
Mar 11, 2025 · Artificial Intelligence

OpenManus: Design, Architecture, and Future Directions of a Multi‑Agent System

OpenManus is an open‑source, plug‑in‑friendly multi‑agent framework that combines planning, tool‑driven ReAct agents, dynamic task allocation, and memory management, detailing its design principles, code structure, workflow, technical components, and future research directions within the AI agent ecosystem.

AI planningOpen-sourceOpenManus
0 likes · 18 min read
OpenManus: Design, Architecture, and Future Directions of a Multi‑Agent System
DataFunTalk
DataFunTalk
Jan 1, 2025 · Artificial Intelligence

Applying Large Language Models to Financial Risk Control at Akulaku

This article details Akulaku’s deployment of large language models across multimodal financial risk‑control scenarios—covering business background, a three‑module intelligent‑agent architecture, concrete tool‑ and planning‑enhancement case studies, and future outlook—demonstrating how LLMs boost efficiency, reduce labeling effort, and enable copilot‑style assistance.

KYC verificationLarge Language Modelsagent architecture
0 likes · 15 min read
Applying Large Language Models to Financial Risk Control at Akulaku
DataFunSummit
DataFunSummit
Nov 18, 2024 · Artificial Intelligence

Intelligent Data Analysis: Agent Architecture Combined with Semantic Layer for Product Implementation

This article explores how large‑model technologies can address data analysis challenges by introducing an Agent‑based architecture integrated with a semantic layer, detailing design principles, optimization paths, technical implementation, real‑world retail case studies, product design considerations, and future directions for intelligent analytics.

AIBusiness IntelligenceData Analytics
0 likes · 22 min read
Intelligent Data Analysis: Agent Architecture Combined with Semantic Layer for Product Implementation
DataFunSummit
DataFunSummit
Aug 23, 2024 · Artificial Intelligence

Applying Large Language Models to Automotive Industrialization: Practices and Experiences

This presentation outlines the development of ChatGPT, the underlying principles of large language models, and how they empower new industrialization in automotive manufacturing, detailing practical implementations, agent architectures, data and model closed loops, and case studies such as intelligent inspection and G8D agents.

AutomotiveChatGPTData Loop
0 likes · 13 min read
Applying Large Language Models to Automotive Industrialization: Practices and Experiences
DataFunSummit
DataFunSummit
Jul 17, 2024 · Artificial Intelligence

Overview of LLM‑Based Agents: Architecture, Key Challenges, and Future Directions

This article reviews the emerging field of large‑language‑model (LLM) based AI agents, outlining their overall architecture, core modules such as profiling, memory, planning and action, discussing current challenges, presenting concrete use‑cases, and highlighting promising research directions.

AI AgentLLMMemory Mechanism
0 likes · 11 min read
Overview of LLM‑Based Agents: Architecture, Key Challenges, and Future Directions
JD Tech
JD Tech
May 22, 2024 · Artificial Intelligence

AI Multi‑Agent System for E‑commerce Merchant Assistance: Design, ReAct Architecture, and Implementation

The article describes JD Retail's AI‑driven multi‑agent platform that models real‑world merchant decision‑making with ReAct‑based LLM agents, detailing the system architecture, agent roles, reasoning loops, workflow examples, training pipelines, monitoring, and future directions for e‑commerce support.

AIDecision SupportLLM
0 likes · 21 min read
AI Multi‑Agent System for E‑commerce Merchant Assistance: Design, ReAct Architecture, and Implementation
JD Retail Technology
JD Retail Technology
May 22, 2024 · Artificial Intelligence

AI Multi‑Agent System for E‑commerce: Design, Implementation, and Operational Insights

This article presents a comprehensive overview of JD Retail's AI‑driven multi‑agent architecture for e‑commerce assistance, detailing how real‑world merchant decision processes are modeled with ReAct‑based LLM agents, the hierarchical workflow, training pipelines, monitoring mechanisms, and future directions for scalable intelligent commerce support.

AILLMReact
0 likes · 20 min read
AI Multi‑Agent System for E‑commerce: Design, Implementation, and Operational Insights
DataFunTalk
DataFunTalk
Apr 8, 2024 · Artificial Intelligence

LLM‑Based Agents: Architecture, Key Challenges, and Future Directions

This article surveys the emerging field of large‑language‑model (LLM) based agents, detailing their modular architecture—including profiling, memory, planning, and action components—while discussing critical challenges such as role‑playing, memory design, reasoning, multi‑agent collaboration, and outlining promising research directions and practical case studies.

AI AgentLLMMemory Mechanism
0 likes · 11 min read
LLM‑Based Agents: Architecture, Key Challenges, and Future Directions
Tencent Cloud Developer
Tencent Cloud Developer
Nov 8, 2023 · Artificial Intelligence

Comprehensive Overview of AI Agents: Concepts, Technical Frameworks, and Applications

The article surveys modern AI agents—software entities powered by large language models that perceive multimodal inputs, reason via brain modules, act through tools or embodied actions, employ retrieval‑augmented generation and chain‑of‑thought planning, and can operate singly (e.g., AutoGPT) or collaboratively via frameworks like Microsoft’s AutoGen—while highlighting current challenges such as controllability, memory limits, parallelism, and reliability.

AI agentsAutoGenLarge Language Models
0 likes · 34 min read
Comprehensive Overview of AI Agents: Concepts, Technical Frameworks, and Applications