Explaining AI agents in a way anyone can understand скачать в хорошем качестве

Explaining AI agents in a way anyone can understand

🚀 Gumroad Link to Assets in Video: https://bit.ly/49sIEnX 👉🏼Join the Early AI-dopters Community: https://bit.ly/3ZMWJIb 📅 Book a Meeting with Our Team: https://bit.ly/3Ml5AKW 🌐 Visit My Agency Website: https://bit.ly/4cD9jhG In this video, I’m breaking down the evolving concept of AI agents. Whether you're thinking of a smart chatbot or a multi-agent system working towards a shared goal, this guide walks through the spectrum of definitions and practical applications. Drawing from real-world experience, I highlight the challenges and future potential of fully autonomous agent systems. Discover how to: Define what "agentic" means in the AI landscape Explore the spectrum of agent complexity, from chatbots to custom GPTs Understand the flaws in current systems and what’s needed for true autonomy Navigate frameworks like LangChain and Agency Swarm Envision the future of agent swarms and hierarchical agent systems Whether you're curious about AI's current state or dreaming of its future possibilities, this video offers insights to help you assess and leverage agent-based solutions. By the end, you'll understand what makes an AI system "agentic" and how close we are to achieving fully autonomous AI. --- 👋 About Me: I'm Mark, owner of Prompt Advisors. With over a decade of experience in AI and data science, I help businesses integrate cutting-edge automation solutions. This video unpacks the state of AI agents and lays out what’s needed to push the boundaries of autonomous systems. #AIAgents #AgenticAI #AutomationSolutions #CustomGPT #LangChain #AgencySwarm #AISystems #ArtificialIntelligence #AutonomousAgents #aiworkflow TIMESTAMPS ⏳ 0:00 - 0:14: Intro to AI agents and their definitions 0:15 - 0:23: Host introduction and expertise in AI automation 0:24 - 1:10: Agenda overview for the video 1:11 - 1:48: Defining agentic and its key characteristics 1:49 - 2:38: The spectrum of agency in AI tools 2:39 - 3:29: Low-agency examples: chatbots and builders 3:30 - 4:32: Mid-agency: Automation workflows with AI integration 4:33 - 5:06: Example: LinkedIn automation use case 5:07 - 5:36: Higher agency: Custom GPTs and advanced LLMs 5:37 - 6:33: Assistance frameworks like OpenAI and Claude 6:34 - 7:40: Multi-agent frameworks: LangGraph and Agency Swarm 7:41 - 8:07: Common flaws in agent systems 8:08 - 9:06: Scaling agents and negative feedback challenges 9:07 - 10:08: Ideal agent swarms for collaborative systems 10:09 - 10:53: Hierarchical agent structures for better workflows 10:54 - 11:32: Agent swarms mimicking corporate management models 11:33 - 12:00: Fully autonomous agentic systems: The end goal 12:01 - 13:09: Future advancements in agent frameworks 13:10 - 13:38: Conclusion: Understanding the agentic spectrum