AI Agentic System Design - Part 1 (AI Models vs AI Agents and Key Components in AI Agents) скачать в хорошем качестве

AI Agentic System Design - Part 1 (AI Models vs AI Agents and Key Components in AI Agents)

AI agents are everywhere — but most explanations jump straight into tools and frameworks without building the right foundation. This video is Part 1 of the AI Agentic System Design series, where we start from first principles and build a clear mental model for how agent-based AI systems actually work. In this episode, we focus on the most important distinction: AI Models vs AI Agents and break down the three core components of every AI agent: Model – the reasoning engine Tools – how agents interact with the real world Instructions – the rules that guide agent behavior All concepts are explained using simple examples and Excalidraw-style diagrams, with a strong focus on system design thinking rather than hype. What this video covers (Part 1): What an AI model is — and what it is not Why models alone cannot execute real-world tasks What turns a model into an AI agent The three core components of AI agents: Models Tools Instructions A real-world task walkthrough to tie everything together About the AI Agentic System Design Series This series is designed for: Backend engineers Software engineers Data engineers Anyone transitioning into AI engineering Across the series, we’ll cover: Single-agent vs multi-agent systems Planner–Executor architectures Tool-using agents Memory and state management Real-world agent design patterns When not to use agents