Designing AI Agents: A Strategic Guide to ReAct, Multi-Agent & Graph Architectures скачать в хорошем качестве

Designing AI Agents: A Strategic Guide to ReAct, Multi-Agent & Graph Architectures

Are you building AI agents by accident or by design? In the 2025-2026 landscape of Agentic AI, prompt engineering is only the beginning. To build reliable, scalable, and cost-effective autonomous systems, you need a solid architectural blueprint. Welcome to "Architects of Intelligence," your strategic guide to designing modern AI agent systems. In this deep dive, we move beyond simple chatbots and explore the four core agent architectures that define the current state of the art. Whether you are optimizing for cost, latency, or reliability, choosing the right strategy is a mission-critical imperative. What you will learn in this video: ✅ The 6 Dimensions of Agent Success: How to score your agent on Reasoning, Cost, Reliability, Latency, Scalability, and Interpretability. ✅ The 4 Core Heist Strategies: 1. The Improviser (ReAct): Real-time adaptation through Thought-Action-Observation loops. 2. The Blueprint (Plan-then-Execute): Dividing labor between powerful Planners and efficient Executors. 3. The Specialists (Hierarchical): Scaling via delegation, manager agents, and parallelization. 4. The Labyrinth (Graph-based): Achieving 100% reliability with finite state machines and deterministic workflows. ✅ Toolformer Techniques:** How fine-tuned models "forge" tool calls directly into text streams. ✅ The 2025 Framework Arsenal: A head-to-head comparison of OpenAI Agents SDK, LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel, and n8n. ✅ Decision Flowcharts: How to match the right architecture to your specific mission, from customer support to enterprise insurance workflows. Who is this for? This guide is designed for AI Architects, Software Engineers, and Enterprise Leaders who are moving past the "experimentation" phase and into the production-grade deployment of autonomous AI systems. Chapters: – Architecture is Strategy: Intro to Agentic AI – The Scorecard: 6 Metrics for Agent Performance – Strategy 1: The Improviser (ReAct) – Strategy 2: The Blueprint (Plan then Execute) – Strategy 3: The Specialists (Hierarchical) – Strategy 4: The Labyrinth (Graph-based) – The Forger’s Instinct: Toolformer Fine-Tuning – Head-to-Head: Choosing the Right Architectures – Framework Review: OpenAI, LangGraph, CrewAI & more – Mission Scenarios: Real-World Applications – The Extraction: The Practitioner’s Mindset Join the conversation! Is your project too complex for a simple ReAct loop? Are you using LangGraph or AutoGen for your multi-agent teams? Let us know your thoughts and ideas for future videos in the comments below! #AIAgents #AgenticAI #LangGraph #MachineLearning #LLM #CrewAI #AutoGen #AIStrategy #ComputerScience #DataScience #ArtificialIntelligence #AIAgents, #AgenticAI, #LangGraph, #MachineLearning, #LLM, #CrewAI, #AutoGen, #AIStrategy, #ComputerScience, #DataScience ---