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AI Agents

1457 articles · Page 15 of 15
AI Large Model Application Practice
AI Large Model Application Practice
Jan 3, 2025 · Artificial Intelligence

How to Build an Orchestrator‑Workers AI Agent Workflow with Pydantic AI

This article explains the Orchestrator‑Workers pattern from Anthropic’s “Build effective agents”, compares it with routing and parallel modes, distinguishes it from Supervisor agents, and provides a step‑by‑step Python implementation using Pydantic AI, including model definitions, prompts, orchestration logic, worker execution, and a test example.

AI AgentsLLMOrchestrator-Workers
0 likes · 9 min read
How to Build an Orchestrator‑Workers AI Agent Workflow with Pydantic AI
Architects' Tech Alliance
Architects' Tech Alliance
Dec 27, 2024 · Artificial Intelligence

OpenAI’s 12‑Day Launch: Deep Dive into New Models, Features, and Industry Impact

This article provides a comprehensive analysis of OpenAI’s twelve‑day launch, detailing the introduction of new foundation models like o1 and o3, the rollout of advanced features such as reinforced fine‑tuning, Sora video generation, Canvas collaboration, AI agents, enhanced voice and phone integration, as well as performance metrics and broader implications for the AI ecosystem.

AI AgentsAI modelsChatGPT
0 likes · 19 min read
OpenAI’s 12‑Day Launch: Deep Dive into New Models, Features, and Industry Impact
Huolala Tech
Huolala Tech
Dec 17, 2024 · Artificial Intelligence

How to Secure AI Agents: Privacy Risks, Threats, and Governance Strategies

This article examines the rapid growth of AI agents, outlines typical privacy and security challenges such as data leakage, model attacks, and prompt injection, and proposes comprehensive governance and technical measures to mitigate these risks in enterprise deployments.

AI AgentsGovernanceLLM
0 likes · 22 min read
How to Secure AI Agents: Privacy Risks, Threats, and Governance Strategies
Huolala Safety Emergency Response Center
Huolala Safety Emergency Response Center
Dec 17, 2024 · Information Security

How Secure Are AI Agents? Risks, Attacks, and Governance Strategies

This article examines the rapid growth of AI agents, outlines their core components and classifications, analyzes a wide range of privacy and security threats—including data leakage, prompt injection, jailbreak, backdoor, hallucination, and memory attacks—and proposes practical governance measures to mitigate these risks.

AI AgentsGovernanceLLM
0 likes · 25 min read
How Secure Are AI Agents? Risks, Attacks, and Governance Strategies
DevOps
DevOps
Dec 12, 2024 · Artificial Intelligence

The Future of Large Language Models: From Consumer Q&A to Agentic Workflows

Andrew Ng highlights that large language models are shifting from optimizing simple question‑answering for consumers to supporting complex agentic workflows, including tool usage, computer interaction, and multi‑agent collaboration, signaling a major evolution in AI capabilities.

AI AgentsAI trendsAgentic AI
0 likes · 8 min read
The Future of Large Language Models: From Consumer Q&A to Agentic Workflows
Efficient Ops
Efficient Ops
Dec 8, 2024 · Operations

Unlocking BizDevOps: Key Insights from Shanghai’s Enterprise Summit

The article recaps Shanghai’s BizDevOps Enterprise Summit, highlighting five expert sessions on R&D‑operations integration in securities, platform engineering breakthroughs, large‑model agents in financial ops, Ctrip’s 10 PB JuiceFS practice, and core SRE stability strategies for financial firms.

AI AgentsBizDevOpsCloud Native
0 likes · 4 min read
Unlocking BizDevOps: Key Insights from Shanghai’s Enterprise Summit
CSS Magic
CSS Magic
Nov 8, 2024 · Artificial Intelligence

LLM Application Development Tips (3): Exploring LLM API Inputs and Outputs

This article explains how to configure key OpenAI chat completion parameters—such as temperature, top_p, streaming, response format, and tool selection—and walks through the structure of the API's JSON response, highlighting fields like id, model, choices, finish_reason, and usage for better control and cost estimation.

AI AgentsAPI parametersJSON response
0 likes · 8 min read
LLM Application Development Tips (3): Exploring LLM API Inputs and Outputs
phodal
phodal
Oct 15, 2024 · Artificial Intelligence

How Shire Reimagines AI‑Powered Programming with a New DSL

This article introduces Shire, a domain‑specific language and framework that orchestrates AI agents across IDEs and DevOps toolchains, explaining its motivations, core features, practical code examples, and architectural components to boost software development efficiency.

AI AgentsAI programmingIDE integration
0 likes · 9 min read
How Shire Reimagines AI‑Powered Programming with a New DSL
AI Large Model Application Practice
AI Large Model Application Practice
Sep 29, 2024 · Artificial Intelligence

Getting Started with LangGraph Studio: Build and Debug Complex AI Agents

This guide introduces LangGraph Studio, a visual IDE for creating, testing, and debugging multi‑step AI agents built with LangGraph, walks through building a simple agent, explains required Docker setup, project configuration files, and demonstrates how to load, run, and troubleshoot agents using the studio’s interactive features.

AI AgentsDockerLangGraph
0 likes · 11 min read
Getting Started with LangGraph Studio: Build and Debug Complex AI Agents
Fighter's World
Fighter's World
Sep 22, 2024 · Artificial Intelligence

How Large-Model AI Transforms Smart Customer Service – Alibaba Cloud Insights

The talk outlines the evolution of intelligent customer service over three decades, explains how generative large-model AI like ChatGPT has raised service expectations, and presents Alibaba Cloud’s four-stage implementation—experience, efficiency, capability, and insight—through three concrete cases and a roadmap for SMEs to build their own smart service systems.

AI AgentsAlibaba-CloudRAG
0 likes · 12 min read
How Large-Model AI Transforms Smart Customer Service – Alibaba Cloud Insights
Kuaishou Tech
Kuaishou Tech
Sep 20, 2024 · Artificial Intelligence

Building an LLM-Based Agent Platform for Enterprise Commercialization: Strategies, Architecture, and Practical Insights

This article details the strategic development and technical architecture of SalesCopilot, an LLM-driven agent platform designed for enterprise commercialization, highlighting the implementation of RAG and agent technologies, addressing practical challenges, and sharing key insights for building scalable AI applications.

AI AgentsAI evaluationEnterprise AI
0 likes · 15 min read
Building an LLM-Based Agent Platform for Enterprise Commercialization: Strategies, Architecture, and Practical Insights
21CTO
21CTO
Sep 5, 2024 · Artificial Intelligence

How Microsoft’s AutoGen Studio Simplifies Multi‑Agent AI Development

Microsoft Research’s AutoGen Studio offers a low‑code web and Python interface built on the open‑source AutoGen framework, enabling developers to quickly prototype, enhance, and combine AI agents into complex workflows while providing drag‑and‑drop design, debugging tools, and Azure integration for secure, scalable multi‑agent applications.

AI AgentsAutoGenGenerative AI
0 likes · 7 min read
How Microsoft’s AutoGen Studio Simplifies Multi‑Agent AI Development
Data Thinking Notes
Data Thinking Notes
Sep 1, 2024 · Artificial Intelligence

Master LLMs: Basics, Prompt Engineering, RAG, Agents & Multimodal AI

This article provides a comprehensive overview of large language models, covering their fundamental concepts, historical milestones, parameter scaling, prompt engineering techniques, retrieval‑augmented generation, autonomous agents, and multimodal model applications, illustrating how these technologies reshape AI capabilities across domains.

AI AgentsLLMPrompt Engineering
0 likes · 22 min read
Master LLMs: Basics, Prompt Engineering, RAG, Agents & Multimodal AI
58 Tech
58 Tech
Aug 7, 2024 · Artificial Intelligence

Bridging Compute and Applications: 58.com AI Lab’s Large‑Model Platform and AI Agent Solutions

In this article, 58.com AI Lab senior director Zhan Kunlin explains how the company built a multi‑layer AI platform, created a vertical large‑language model called LingXi, and developed an AI Agent system with RAG capabilities to accelerate practical AI applications across various business scenarios.

AI AgentsAI platformLarge Language Model
0 likes · 10 min read
Bridging Compute and Applications: 58.com AI Lab’s Large‑Model Platform and AI Agent Solutions
DataFunSummit
DataFunSummit
Jul 24, 2024 · Artificial Intelligence

Overview of Large Language Model‑Based AI Agents: Architecture, Challenges, and Future Directions

This article reviews the emerging field of large language model‑based AI agents, outlining their overall architecture, key challenges such as role‑playing, memory, planning, and multi‑agent collaboration, and discusses future research directions and practical examples in user behavior simulation and software development.

AI AgentsLLMMemory Mechanisms
0 likes · 11 min read
Overview of Large Language Model‑Based AI Agents: Architecture, Challenges, and Future Directions
Alibaba Cloud Native
Alibaba Cloud Native
Jul 22, 2024 · Artificial Intelligence

How AIGC Is Revolutionizing Software Development and Boosting R&D Efficiency

This presentation explores how large‑model AIGC reshapes software engineering by leveling developer skills, reducing collaboration overhead, cutting costs, and introducing new human‑AI collaboration modes—from Copilot to multi‑agent facilitators—while detailing practical challenges, technical solutions, and future prospects.

AI AgentsAIGCHuman-AI Collaboration
0 likes · 25 min read
How AIGC Is Revolutionizing Software Development and Boosting R&D Efficiency
Full-Stack Cultivation Path
Full-Stack Cultivation Path
Jul 20, 2024 · Artificial Intelligence

Beyond RAG: How Mem0 Gives Large Language Models Super Memory for Personalized AI Apps

Mem0 is an open‑source memory‑management middleware for large language models that provides dynamic, context‑aware, and adaptive memory, outperforming traditional Retrieval‑Augmented Generation (RAG) and enabling personalized AI assistants, travel planners, and support agents with concrete Python APIs and examples.

AI AgentsLLMMemory Management
0 likes · 9 min read
Beyond RAG: How Mem0 Gives Large Language Models Super Memory for Personalized AI Apps
DataFunTalk
DataFunTalk
Jul 19, 2024 · Artificial Intelligence

Underlying Logic and Multi‑Agent Architecture of AI Agents in Baidu's Commercial Advertising Platform

The article explains how Baidu's commercial advertising platform leverages generative AI agents—covering their core capabilities of understanding, planning, execution, and persona—to overcome challenges such as hallucination and integration, describing a multi‑layer architecture, key technologies, real‑world case studies, and the resulting performance and operational benefits.

AI AgentsLLM memorySOP
0 likes · 18 min read
Underlying Logic and Multi‑Agent Architecture of AI Agents in Baidu's Commercial Advertising Platform
DataFunSummit
DataFunSummit
Jul 15, 2024 · Operations

Intelligent Operations (AIOps) Insights, Planning, and Large‑Model Agent Practices at ByteDance

The article summarizes ByteDance's intelligent operations (AIOps) strategy, covering frontier concepts, a five‑level automation roadmap, large‑model applications for fault diagnosis and smart Q&A, and a comprehensive AIOps platform that accelerates algorithm deployment, improves efficiency, and reduces operational costs.

AI AgentsAIOpsIntelligent Operations
0 likes · 21 min read
Intelligent Operations (AIOps) Insights, Planning, and Large‑Model Agent Practices at ByteDance
ByteDance SYS Tech
ByteDance SYS Tech
Jun 30, 2024 · Operations

How Large‑Model AI Is Transforming Intelligent Operations (AIOps)

This article explores the latest concepts, planning roadmap, and practical applications of large‑model AI in intelligent operations, detailing AIOps use cases, system‑level automation, multi‑agent architectures, and how a dedicated platform accelerates deployment and efficiency across data‑center environments.

AI AgentsAIOpsAutomation
0 likes · 18 min read
How Large‑Model AI Is Transforming Intelligent Operations (AIOps)
JD Tech
JD Tech
Jun 28, 2024 · Artificial Intelligence

An Overview of Large Language Models: History, Fundamentals, Prompt Engineering, Retrieval‑Augmented Generation, Agents, and Multimodal AI

This article provides a comprehensive introduction to large language models, covering their historical development, core architecture, training process, prompt engineering techniques, Retrieval‑Augmented Generation, agent frameworks, multimodal capabilities, safety challenges, and future research directions.

AI AgentsAI safetyMultimodal
0 likes · 22 min read
An Overview of Large Language Models: History, Fundamentals, Prompt Engineering, Retrieval‑Augmented Generation, Agents, and Multimodal AI
JD Tech
JD Tech
May 31, 2024 · Artificial Intelligence

Understanding Large Language Models, Retrieval‑Augmented Generation, and AI Agents: Concepts, Engineering Practices, and Applications

This article explains the fundamentals and engineering practices of large language models (LLM), retrieval‑augmented generation (RAG) and AI agents, compares small and large embedding models, provides Python code for vector‑database RAG with Chroma, and discusses integration, use cases, and future challenges in AI development.

AI AgentsAI EngineeringLLM
0 likes · 41 min read
Understanding Large Language Models, Retrieval‑Augmented Generation, and AI Agents: Concepts, Engineering Practices, and Applications
Tencent Cloud Developer
Tencent Cloud Developer
May 28, 2024 · Artificial Intelligence

AI Agents: Concepts, Key Components, and Development Frameworks

AI agents extend large language models with planning, short‑term and long‑term memory, and tool‑use capabilities, enabling autonomous task decomposition, external API interaction, and persistent knowledge retrieval; frameworks such as MetaGPT, LangChain, and CrewAI simplify building agents like a researcher that gather information, browse web content, and generate reports, heralding broader AI‑enhanced productivity.

AI AgentsFunction CallingPlanning
0 likes · 20 min read
AI Agents: Concepts, Key Components, and Development Frameworks
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
May 23, 2024 · Artificial Intelligence

Building a Multi‑Agent Bookmark Assistant Bot with Coze: From File Upload to AI‑Powered Search

This tutorial walks through creating a Coze bot that uses multi‑agent orchestration, memory variables, triggers, and large‑language‑model integration to upload bookmark files, extract and clean data, classify sites, generate importable HTML bookmarks, and provide AI‑driven search functionality, complete with Python code examples and deployment tips.

AI AgentsBookmark ManagementBot Development
0 likes · 24 min read
Building a Multi‑Agent Bookmark Assistant Bot with Coze: From File Upload to AI‑Powered Search
Baidu Tech Salon
Baidu Tech Salon
May 20, 2024 · Artificial Intelligence

Boosting Ad Efficiency with Baidu’s Multi‑Agent AI Architecture

In the AI‑native era, Baidu's ad platform adopts a multi‑agent architecture that combines large and small LLMs, SOP‑driven workflows, long‑term memory, and vector databases to achieve high query accuracy, low latency, and significant business gains while tackling challenges such as hallucination, planning, execution, and personalization.

AI AgentsLLM OptimizationMulti-Agent Systems
0 likes · 18 min read
Boosting Ad Efficiency with Baidu’s Multi‑Agent AI Architecture
Efficient Ops
Efficient Ops
May 14, 2024 · Artificial Intelligence

How Large‑Model Agents Are Revolutionizing AIOps and Modern Operations

This article explores why large‑model Agent technology is essential for AIOps, explains single‑ and multi‑Agent architectures, memory and tool integration, and demonstrates practical applications such as anomaly detection, fault diagnosis, automated remediation, ChatOps, and future directions for intelligent, autonomous operations.

AI AgentsAIOpsLLM
0 likes · 14 min read
How Large‑Model Agents Are Revolutionizing AIOps and Modern Operations
Baidu Tech Salon
Baidu Tech Salon
Apr 27, 2024 · Artificial Intelligence

Baidu CTO Wang Haifeng Discusses Latest Advances in Large Models and the PaddlePaddle Platform at the 2024 Zhongguancun Forum

At the 2024 Zhongguancun Forum, Baidu CTO Wang Haifeng highlighted the rapid growth of the Wenxin large model—now serving over 200 million daily calls and 85 k customers—while unveiling agent‑based AI breakthroughs, a code‑assistant, and the PaddlePaddle platform’s five‑fold training speed gains that now power millions of developers and enterprises.

AI AgentsBaiduPaddlePaddle
0 likes · 4 min read
Baidu CTO Wang Haifeng Discusses Latest Advances in Large Models and the PaddlePaddle Platform at the 2024 Zhongguancun Forum
DaTaobao Tech
DaTaobao Tech
Apr 10, 2024 · Artificial Intelligence

Survey of Popular AI Agent Frameworks and Their Architectures

The article surveys modern open‑source AI agent frameworks, defining agents as autonomous perception‑planning‑action systems, outlining core modules (inference, memory, tools, action), comparing single‑agent designs like BabyAGI and AutoGPT with multi‑agent platforms such as MetaGPT and AutoGen, and discussing their benefits, trade‑offs, and future research directions.

AI AgentsLLMMulti-Agent Systems
0 likes · 28 min read
Survey of Popular AI Agent Frameworks and Their Architectures
Smart Era Software Development
Smart Era Software Development
Apr 3, 2024 · Artificial Intelligence

Unveiling Andrew Ng’s Four AI Agent Design Patterns with Coze

The article explains Andrew Ng’s four AI agent design patterns—Reflection, Tool Use, Planning, and Multi‑agent Collaboration—illustrates each with concrete Coze workflows and real‑world examples such as automotive research briefs, milk‑tea industry reports, and high‑quality travel planning.

AI AgentsCozePlanning
0 likes · 7 min read
Unveiling Andrew Ng’s Four AI Agent Design Patterns with Coze
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 6, 2024 · Artificial Intelligence

Unlocking LangChain: Build Powerful LLM Apps Like LEGO with Real-World Examples

This article explains how LangChain simplifies building and integrating large language model applications by providing modular components such as models, prompts, indexes, tools, memory, chains, and agents, illustrated with practical use cases like travel assistants, face‑recognition troubleshooting, and multi‑agent workflows.

AI AgentsLLMLangChain
0 likes · 44 min read
Unlocking LangChain: Build Powerful LLM Apps Like LEGO with Real-World Examples
DataFunTalk
DataFunTalk
Feb 29, 2024 · Artificial Intelligence

Applying Large Language Models to Automotive Industrialization: Practices and Insights

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

AI AgentsChatGPTindustrial AI
0 likes · 14 min read
Applying Large Language Models to Automotive Industrialization: Practices and Insights
Baobao Algorithm Notes
Baobao Algorithm Notes
Feb 4, 2024 · Industry Insights

Balancing Fun, Utility, and Slow Thinking: The Future of AI Agents

In this talk, the speaker examines the dual goals of AI agents—being entertaining and useful—while introducing the concepts of fast and slow thinking, multimodal perception, long‑term memory, retrieval‑augmented generation, and tool integration as essential steps toward building truly valuable digital companions.

AI AgentsFuture AIMultimodal
0 likes · 18 min read
Balancing Fun, Utility, and Slow Thinking: The Future of AI Agents
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jan 22, 2024 · Artificial Intelligence

Prompt Engineering and CAMEL: Role‑Playing AI Agents for Automated Prompt Generation

This article explains how Prompt Engineering combined with the CAMEL framework enables role‑playing AI agents to automatically generate and manage prompts, illustrates the concept with a stock‑trading example, and provides Python code using LangChain to build a marketing‑automation agent for a small business.

AI AgentsCAMELInception Prompting
0 likes · 11 min read
Prompt Engineering and CAMEL: Role‑Playing AI Agents for Automated Prompt Generation
DataFunSummit
DataFunSummit
Jan 13, 2024 · Artificial Intelligence

Large Model Applications in Automotive Industrialization: Practices, Architecture, and Case Studies

This presentation explores the development of ChatGPT, the underlying principles of large language models, their role in enabling new industrialization, detailed NIO automotive AI platform architecture, data‑model‑agent closed‑loops, intelligent inspection solutions, and practical case studies such as G8D Agents, providing a comprehensive view of large‑model deployment in the automotive sector.

AI AgentsAutomotiveModel Training
0 likes · 13 min read
Large Model Applications in Automotive Industrialization: Practices, Architecture, and Case Studies
21CTO
21CTO
Dec 30, 2023 · Artificial Intelligence

How AI Agents Will Transform Every Aspect of Our Lives

Bill Gates envisions a near‑future where intelligent AI agents replace separate applications, understand natural language, and act as personal assistants across healthcare, education, productivity, and entertainment, reshaping software, privacy, and society while presenting technical and ethical challenges.

AI AgentsAI ChallengesAI in Education
0 likes · 18 min read
How AI Agents Will Transform Every Aspect of Our Lives
Baobao Algorithm Notes
Baobao Algorithm Notes
Dec 24, 2023 · Artificial Intelligence

Must‑Read AI Agent and LLM Research Papers for Deep Understanding

This curated reading list compiles essential papers on AI agents, task planning, hallucination mitigation, multimodal models, image/video generation, foundational LLM research, open‑source large models, fine‑tuning techniques, and performance optimization, providing a comprehensive roadmap for anyone aiming to master modern generative AI.

AI AgentsMultimodal LearningPerformance Optimization
0 likes · 23 min read
Must‑Read AI Agent and LLM Research Papers for Deep Understanding
21CTO
21CTO
Dec 15, 2023 · Artificial Intelligence

Why 2024 Will Be the Year of AI Engineers and LLM‑Driven Apps

The article outlines five major AI engineering trends for 2024—including the rise of AI engineers, evolving LLM tech stacks, open‑source large models, vector databases, and AI agents—highlighting how these shifts will reshape application development and industry competition.

2024 trendsAI AgentsAI Engineering
0 likes · 9 min read
Why 2024 Will Be the Year of AI Engineers and LLM‑Driven Apps
58UXD
58UXD
Dec 8, 2023 · Artificial Intelligence

How AI Agents Will Redefine Design, UX, and Interaction in the Next Five Years

Bill Gates predicts AI agents will soon replace most apps, prompting designers to rethink user experience, explore new interaction devices, and master AI communication skills, while emphasizing accessible design principles to thrive in a rapidly evolving digital landscape.

AI AgentsAI collaborationHuman-Computer Interaction
0 likes · 8 min read
How AI Agents Will Redefine Design, UX, and Interaction in the Next Five Years
Architect
Architect
Nov 19, 2023 · Artificial Intelligence

Why AutoGPT Abandoned Vector Databases – A Deep Dive into Simpler Memory Strategies

The article examines AutoGPT's shift away from vector databases, detailing the original vision of using embeddings for long‑term memory, the performance calculations that exposed unnecessary complexity, the adoption of JSON‑based storage, and the emerging trend of specialized multi‑agent architectures.

AI AgentsAutoGPTMemory Management
0 likes · 9 min read
Why AutoGPT Abandoned Vector Databases – A Deep Dive into Simpler Memory Strategies
Ximalaya Technology Team
Ximalaya Technology Team
Nov 16, 2023 · Artificial Intelligence

How AI Agents Turn One-Line Prompts Into Fully Functional Apps in Minutes

ChatDev, an AI‑driven software development platform, claims to create complete applications from a single prompt in about three minutes and at a cost of roughly two yuan, leveraging a multi‑agent workflow, a custom 100‑billion‑parameter model, and open‑source frameworks to dramatically cut development time and expense.

AI AgentsChatDevIndustry Analysis
0 likes · 13 min read
How AI Agents Turn One-Line Prompts Into Fully Functional Apps in Minutes
21CTO
21CTO
Nov 12, 2023 · Artificial Intelligence

How AI Agents Will Revolutionize Computing and Everyday Life

Bill Gates predicts that AI agents will soon replace separate applications, enabling users to command devices with natural language, transforming software, productivity, healthcare, education, and entertainment, while raising significant technical, privacy, and societal challenges that could spark the biggest computer revolution since the graphical user interface.

AI AgentsPrivacyfuture of AI
0 likes · 18 min read
How AI Agents Will Revolutionize Computing and Everyday Life
Architect
Architect
Nov 8, 2023 · Artificial Intelligence

AI Agents Unleashed: From Assistants API to Multi‑Agent Frameworks

The article dissects the rise of AI agents—from OpenAI's Assistants API and multimodal perception‑brain‑action pipelines to retrieval‑augmented generation, tool‑use strategies, single‑ and multi‑agent deployments, and emerging frameworks like AutoGen—while highlighting concrete examples, benchmark results, and current limitations.

AI AgentsAssistants APIEmbodied AI
0 likes · 38 min read
AI Agents Unleashed: From Assistants API to Multi‑Agent Frameworks
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 AgentsAutoGenMulti-Agent Systems
0 likes · 34 min read
Comprehensive Overview of AI Agents: Concepts, Technical Frameworks, and Applications
Baobao Algorithm Notes
Baobao Algorithm Notes
Oct 23, 2023 · Artificial Intelligence

Why Multimodal AI Agents Could Be the Next Killer App for Large Models

The article recounts a personal test of a multimodal AI agent in Newport Beach and expands into a detailed analysis of current multimodal LLM architectures, memory mechanisms, task planning, tool usage, personality modeling, cost constraints, evaluation challenges, and the broader social and reliability implications of deploying such agents.

AI AgentsEvaluationMultimodal
0 likes · 44 min read
Why Multimodal AI Agents Could Be the Next Killer App for Large Models
Ximalaya Technology Team
Ximalaya Technology Team
Oct 18, 2023 · Artificial Intelligence

The Evolution of AI Agents: From Philosophy to Modern Implementations

Tracing AI agents from Aristotle’s and Zhuangzi’s philosophical notions through the coining of “agent” in computer science to today’s learning‑based systems powered by large language models, the article outlines key milestones, core components—LLM brain, memory, planning, tool use—and showcases applications such as AlphaGo, Siri, and autonomous platforms, while forecasting their expanding, industry‑wide ubiquity.

AI AgentsAutonomous SystemsGenerative Agents
0 likes · 21 min read
The Evolution of AI Agents: From Philosophy to Modern Implementations
DataFunSummit
DataFunSummit
Sep 22, 2023 · Artificial Intelligence

Exploring Game AI Agents: Review, LLM‑Driven Exploration, and Future Directions

This article reviews the evolution of game AI agents, examines how large language models (LLMs) can drive new AI behaviors in games, and discusses practical case studies across genres such as Werewolf‑style, war‑SLG, and MOBA games, concluding with challenges and future research directions.

AI AgentsGame DevelopmentLLM
0 likes · 31 min read
Exploring Game AI Agents: Review, LLM‑Driven Exploration, and Future Directions
Ximalaya Technology Team
Ximalaya Technology Team
Sep 18, 2023 · Artificial Intelligence

Understanding Autonomous and Autopilot AI Agents: Insights from Industry Experts

The article surveys the rise of LLM‑powered AI agents, defining them as LLM + memory + planning + tool use, contrasting fully autonomous agents with human‑guided autopilot/copilot variants, outlining their benefits, risks such as hallucinations and unsafe actions, and urging modular frameworks and oversight for reliable enterprise deployment.

AI AgentsAgent frameworkAutonomous Systems
0 likes · 27 min read
Understanding Autonomous and Autopilot AI Agents: Insights from Industry Experts
21CTO
21CTO
Jun 2, 2023 · Artificial Intelligence

Why LangChain Is the Fast‑Growing Framework for LLM‑Powered Apps

LangChain, launched in 2022, quickly evolved from a Python library to a multi‑environment framework that helps developers build chat‑based applications, agents, and memory‑aware LLM solutions, while integrating with major cloud and AI tooling ecosystems.

AI AgentsAuto-GPTChat applications
0 likes · 8 min read
Why LangChain Is the Fast‑Growing Framework for LLM‑Powered Apps