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AI Cyberspace
AI Cyberspace
Sep 15, 2025 · Artificial Intelligence

What Is Agentic AI? From LLM Limits to Autonomous AI Agents

Agentic AI transforms static large language models into autonomous agents by adding perception, goal orientation, planning, action, interaction, and iterative loops, tracing its evolution from early chatbots through Prompt Engineering, ReAct, AutoGPT, OpenAI Function Calling, to modern multi‑agent frameworks, while addressing challenges like memory, hallucinations, and scalability.

Agentic AIMulti-AgentRAG
0 likes · 38 min read
What Is Agentic AI? From LLM Limits to Autonomous AI Agents
Data Party THU
Data Party THU
Sep 8, 2025 · Artificial Intelligence

Why Small Language Models Will Dominate Agentic AI by 2025

By 2025, Agentic AI is shifting from massive LLMs to cost‑effective Small Language Models (SLMs), driven by their comparable performance, lower latency, and dramatically reduced inference and fine‑tuning costs, as detailed through market data, model benchmarks, migration steps, and real‑world case studies.

AIAgentic AILLM
0 likes · 6 min read
Why Small Language Models Will Dominate Agentic AI by 2025
Data Party THU
Data Party THU
Sep 3, 2025 · Artificial Intelligence

Unlocking Large Model Secrets: Transformers, MoE, Fine‑Tuning, RAG & KV Caching

This article provides a comprehensive technical overview of today’s large‑model ecosystem, covering the Transformer architecture, Mixture‑of‑Experts extensions, five fine‑tuning methods, the evolution from traditional RAG to agentic RAG, classic agent design patterns, diverse text‑chunking strategies, and the KV‑cache optimization that accelerates inference.

Agentic AIFine‑tuningKV cache
0 likes · 13 min read
Unlocking Large Model Secrets: Transformers, MoE, Fine‑Tuning, RAG & KV Caching
Meituan Technology Team
Meituan Technology Team
Sep 1, 2025 · Artificial Intelligence

LongCat-Flash-Chat: 560B MoE Model with 27B Active Params Sets New Benchmarks

LongCat-Flash-Chat, an open‑source 560‑billion‑parameter Mixture‑of‑Experts model that activates only 18.6‑31.3 B parameters per token, delivers state‑of‑the‑art performance on general, agentic, coding, and instruction‑following benchmarks while offering fast inference and efficient deployment options.

AI modelAgentic AIBenchmark
0 likes · 7 min read
LongCat-Flash-Chat: 560B MoE Model with 27B Active Params Sets New Benchmarks
DataFunSummit
DataFunSummit
Aug 31, 2025 · Artificial Intelligence

Agentic AI Unveiled: Overcoming Real-World Challenges and Driving Industry Impact

This article examines the practical hurdles AI agents face—cognitive, value, and capability gaps—debunks common misconceptions, outlines four essential characteristics for enterprise‑grade agents, and illustrates how a re‑engineered AI‑native workflow can transform digital marketing and broader business operations.

AI misconceptionsAgentic AIDigital Marketing
0 likes · 17 min read
Agentic AI Unveiled: Overcoming Real-World Challenges and Driving Industry Impact
Continuous Delivery 2.0
Continuous Delivery 2.0
Aug 28, 2025 · Artificial Intelligence

How Agentic AI Is Transforming Software Engineering and Startup Success

In a deep interview, AI pioneer Andrew Ng explains that AI progress will follow multiple parallel paths beyond scaling, highlights the talent bottleneck for building Agentic AI, and shows how AI‑driven coding tools are shifting startup bottlenecks from engineering to product management while reshaping team structures and founder priorities.

AI DevelopmentAI talent bottleneckAgentic AI
0 likes · 15 min read
How Agentic AI Is Transforming Software Engineering and Startup Success
AndroidPub
AndroidPub
Aug 26, 2025 · Artificial Intelligence

How Speed and Application Layer Drive AI Startup Success – Lessons from Andrew Ng

Andrew Ng’s YC AI Startup School talk reveals that the biggest AI opportunities lie in the application layer, emphasizes speed as a critical success metric, explores the rise of Agentic AI, debunks the myth that AI will replace programming, and offers practical strategies for rapid AI‑driven product development.

AI entrepreneurshipAI trendsAgentic AI
0 likes · 19 min read
How Speed and Application Layer Drive AI Startup Success – Lessons from Andrew Ng
Wuming AI
Wuming AI
Aug 26, 2025 · Artificial Intelligence

A Layered Overview of Agentic AI: From LLM Foundations to Multi‑Agent Systems

This article presents a hierarchical breakdown of Agentic AI, detailing the foundational large language models, the capabilities of AI agents, the coordination mechanisms of multi‑agent systems, and the supporting infrastructure needed for reliability, scalability, and security.

AI agentsAgentic AIInfrastructure
0 likes · 5 min read
A Layered Overview of Agentic AI: From LLM Foundations to Multi‑Agent Systems
Fighter's World
Fighter's World
Aug 15, 2025 · Artificial Intelligence

Why GPT‑5 Is Still Far From AGI Yet Near Scalable Profitability

The article analyzes GPT‑5’s release, its unified multi‑model architecture with a real‑time router, improved reasoning, coding and tool‑use capabilities, reduced hallucinations, and how these technical shifts reshape AI commercialization, investment logic, competition and enterprise adoption.

AI commercializationAgentic AIGPT-5
0 likes · 20 min read
Why GPT‑5 Is Still Far From AGI Yet Near Scalable Profitability
Baobao Algorithm Notes
Baobao Algorithm Notes
Jul 28, 2025 · Industry Insights

Why AWS Bedrock AgentCore Signals a New Era for Agentic AI Infrastructure

The article analyzes AWS Bedrock AgentCore and related hardware and software requirements for Agentic AI, covering runtime isolation with microVMs, memory architectures, identity and gateway design, zero‑trust networking, and the challenges of multi‑tenant KVCache and context engineering.

AWS BedrockAgentic AIInfrastructure
0 likes · 15 min read
Why AWS Bedrock AgentCore Signals a New Era for Agentic AI Infrastructure
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Jul 24, 2025 · Artificial Intelligence

Exploring Recent Large‑Model Agent Papers: Insights and Analyses

This article reviews a series of recent research papers on large‑model agents, covering topics such as reinforcement‑learning‑driven ML agents, premise‑critique ability of LLMs, long‑term tool‑augmented LLM evaluation, agentic RAG, set‑based retrieval for multi‑hop QA, mobile VLM agents, and broader surveys of LLM applications, summarizing each work’s problem statement, prior approaches, novel contributions, experimental results, limitations, and future directions.

Agentic AIBenchmarkLLM evaluation
0 likes · 46 min read
Exploring Recent Large‑Model Agent Papers: Insights and Analyses
Tencent Cloud Developer
Tencent Cloud Developer
Jul 23, 2025 · Artificial Intelligence

Why Retrieval‑Augmented Generation Is Evolving Into Agentic AI Search

This article explains how the inherent knowledge limits of large language models drive the rise of Retrieval‑Augmented Generation (RAG), outlines its three evolutionary stages, introduces Agentic RAG and DeepSearch, and discusses the knowledge and ability boundaries that shape future AI search systems.

AI searchAgentic AIDeepSearch
0 likes · 19 min read
Why Retrieval‑Augmented Generation Is Evolving Into Agentic AI Search
DaTaobao Tech
DaTaobao Tech
Jul 16, 2025 · Artificial Intelligence

From GPT‑4 to Agentic AI: How LLM Architecture Evolved (2023‑2025)

Since GPT‑4’s 2023 debut, large language models have shifted from sheer scale to efficiency‑driven designs, advanced reasoning with chain‑of‑thought, and agentic tool use, as illustrated by MoE, MLA, and new attention mechanisms, reshaping benchmarks, commercial strategies, and the future of AI.

Agentic AILLMModel Scaling
0 likes · 24 min read
From GPT‑4 to Agentic AI: How LLM Architecture Evolved (2023‑2025)
High Availability Architecture
High Availability Architecture
Jul 9, 2025 · Artificial Intelligence

How LLMs Evolved from GPT‑4 to Agentic AI: Trends, Techniques, and Future Directions

This article analyzes the rapid evolution of large language models from the GPT‑4 era through efficiency‑focused sparsity and attention innovations, to inference‑time reasoning and tool‑using agents, highlighting key architectures, benchmark breakthroughs, competitive strategies, and emerging research directions toward embodied AI.

Agentic AILLMTransformer
0 likes · 24 min read
How LLMs Evolved from GPT‑4 to Agentic AI: Trends, Techniques, and Future Directions
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 8, 2025 · Artificial Intelligence

From Generative to Agentic AI: Building AI‑Native Enterprise Applications

This article examines the rapid evolution of artificial intelligence—from Generative AI to Agentic AI—and explains how enterprises can adopt AI‑Native development models, address full‑stack challenges, upgrade data infrastructure, and leverage Chat BI and LangStudio platforms to create intelligent, data‑driven applications.

AI-nativeAgentic AIChat BI
0 likes · 18 min read
From Generative to Agentic AI: Building AI‑Native Enterprise Applications
Data Thinking Notes
Data Thinking Notes
Jun 22, 2025 · Artificial Intelligence

What Powers the Rise of AI Agents? Inside the Tech Behind Agentic AI

This report explores the fundamentals, core technologies, leading platforms, current state, and future outlook of AI Agents and Agentic AI, detailing how large language models and mature infrastructure enable autonomous, reactive, proactive, and adaptive agents, and examines prominent projects such as Manus, Genspark, and Lovart.

AI agentsAgentic AITechnology Report
0 likes · 5 min read
What Powers the Rise of AI Agents? Inside the Tech Behind Agentic AI
ITPUB
ITPUB
Jun 3, 2025 · Databases

Why Snowflake Is Buying Crunchy Data – Inside the AI Data Cloud Strategy

Snowflake's $2.5 billion acquisition of Crunchy Data aims to embed PostgreSQL into its AI Data Cloud, launching a managed Snowflake Postgres service that fuels the emerging Agentic AI era while positioning the company against rivals like Databricks and Salesforce in the data‑infrastructure race.

AI Data CloudAgentic AICrunchy Data
0 likes · 10 min read
Why Snowflake Is Buying Crunchy Data – Inside the AI Data Cloud Strategy
Instant Consumer Technology Team
Instant Consumer Technology Team
May 28, 2025 · Artificial Intelligence

How Agentic AI Will Transform HR in 2025 – The Next AI Revolution

Agentic AI, the emerging autonomous AI technology, differs from traditional AI agents by offering self‑directed decision‑making, adaptability, and goal‑orientation, promising to automate recruitment, performance evaluation, and employee experience, while 2025 is poised to become the year of AI agents in HR, demanding responsible implementation.

Agentic AIHR technologyRecruitment automation
0 likes · 10 min read
How Agentic AI Will Transform HR in 2025 – The Next AI Revolution
AI Algorithm Path
AI Algorithm Path
May 6, 2025 · Artificial Intelligence

Top Open‑Source AI Agent Frameworks Compared: Features, Pros & Cons

The article surveys dozens of recent open‑source AI agent frameworks—including CrewAI, AutoGen, LangGraph, Agno, SmolAgents, Mastra, PydanticAI and Atomic Agents—explaining their core functions, design philosophies, common features such as prompt engineering and tool integration, and highlighting each framework’s strengths, limitations, and suitable use cases.

AI agentsAgentic AIAutoGen
0 likes · 14 min read
Top Open‑Source AI Agent Frameworks Compared: Features, Pros & Cons
Architect
Architect
May 5, 2025 · Artificial Intelligence

How Agentic RAG‑R1 Turns Retrieval‑Augmented Generation into an Autonomous AI Agent

Agentic RAG‑R1, an open‑source project from Peking University, combines Retrieval‑Augmented Generation with an agentic AI loop, introduces the GRPO reinforcement‑learning optimizer, supports LoRA‑based fine‑tuning, quantization and multimodal tool calls, and demonstrates significant accuracy gains on the MedQA benchmark across both Chinese and English test sets.

Agentic AILLM Tool UseRetrieval Augmented Generation
0 likes · 8 min read
How Agentic RAG‑R1 Turns Retrieval‑Augmented Generation into an Autonomous AI Agent
Fighter's World
Fighter's World
May 2, 2025 · Industry Insights

Token Economics Reveals Nvidia’s New AI Factory Narrative

The article analyses Nvidia’s shift from a chip supplier to a full‑stack AI infrastructure provider called AI Factory, explains the token‑economics framework that measures intelligent output, details the hardware‑software stack and network fabric, quantifies token consumption of advanced agents, and evaluates the strategic opportunities and risks for Nvidia.

AI FactoryAI InfrastructureAgentic AI
0 likes · 29 min read
Token Economics Reveals Nvidia’s New AI Factory Narrative
Tencent Cloud Developer
Tencent Cloud Developer
Apr 2, 2025 · Artificial Intelligence

Understanding Retrieval‑Augmented Generation (RAG): Concepts, Types, and Development

Retrieval‑Augmented Generation (RAG) enhances large language models by fetching up‑to‑date external knowledge before generation, mitigating knowledge‑cutoff limits and hallucinations through a retrieval step (using text, vector, or graph methods) and a generation step, evolving from naive single‑method approaches to advanced, modular, graph‑based, and agentic systems that enable adaptive, multi‑hop reasoning and future intelligent, multimodal pipelines.

AIAgentic AIKnowledge Retrieval
0 likes · 9 min read
Understanding Retrieval‑Augmented Generation (RAG): Concepts, Types, and Development
Architects' Tech Alliance
Architects' Tech Alliance
Mar 29, 2025 · Artificial Intelligence

What GTC2025 Reveals About AI's Next Leap: Agentic AI, Blackwell GPUs, and Emerging Technologies

At GTC2025 NVIDIA showcased the transition from Generative to Agentic AI, introduced the Blackwell GPU family with massive compute gains, unveiled the open‑source Dynamo inference OS, announced the upcoming Blackwell Ultra chip, VeraRubin roadmap, and highlighted advances in silicon‑photonic switches, robotics and quantum computing.

AIAgentic AIBlackwell GPU
0 likes · 7 min read
What GTC2025 Reveals About AI's Next Leap: Agentic AI, Blackwell GPUs, and Emerging Technologies
AI Algorithm Path
AI Algorithm Path
Mar 17, 2025 · Artificial Intelligence

Agentic AI vs Generative AI: Key Differences and Comparative Analysis

The article defines Agentic AI as autonomous, goal‑directed systems that can act and learn from experience, contrasts it with Generative AI’s passive, single‑step content generation, and illustrates the practical advantage of Agentic workflows through Andrew Ng’s HumanEval benchmark where a step‑wise approach outperforms zero‑shot prompting even for older models.

AI autonomyAgentic AIBenchmark
0 likes · 10 min read
Agentic AI vs Generative AI: Key Differences and Comparative Analysis
DataFunSummit
DataFunSummit
Jan 24, 2025 · Artificial Intelligence

Exploring LLM‑Based Generative Business Intelligence (GenBI): Architecture, Implementation, and Lessons Learned

With the rise of LLM‑based generative AI, this article examines the emerging GenBI (Generative Business Intelligence) paradigm, detailing why self‑serving analytics are needed, the progress of Text‑to‑SQL, an LLM‑driven agent architecture, practical AWS Bedrock implementation, technical choices, lessons learned, and future outlook.

AWS BedrockAgentic AIBusiness Intelligence
0 likes · 18 min read
Exploring LLM‑Based Generative Business Intelligence (GenBI): Architecture, Implementation, and Lessons Learned
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
21CTO
21CTO
Jul 23, 2024 · Artificial Intelligence

What Is Agentic AI? How Autonomous Agents Boost Productivity and Transform Industries

Agentic AI, also known as autonomous AI agents, enables systems to perceive environments, make decisions, act, and continuously learn, offering higher productivity, smarter decision‑making, and industry‑wide transformation across sectors such as customer service, healthcare, finance, and manufacturing.

AI automationAI frameworksAgentic AI
0 likes · 13 min read
What Is Agentic AI? How Autonomous Agents Boost Productivity and Transform Industries