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An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with Llms, Tools, and Memory

by Maarten Grootendorst

A visual introduction to AI agents

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AlbakiReads Editorial

A visual introduction to AI agents

Maarten Grootendorst’s guide maps the components and methods involved in building AI agents, with hundreds of illustrations supporting its explanations. The coverage moves from core architecture—tools, memory, and planning—to reasoning language models, multimodal systems, and collaboration among multiple agents. It also introduces advanced techniques such as distillation, quantization, and reinforcement learning, then considers applications alongside agents’ strengths and limitations. The emphasis is both conceptual and practical: readers get a framework for understanding how these systems are assembled and what their capabilities involve, with attention to applying that knowledge in real-world contexts.

Good fit for readers who enjoy

  • Professionals exploring how AI agents are built and applied
  • Students seeking a conceptual and technical introduction to AI agents
  • Curious learners interested in illustrated explanations of agent architecture and methods

Themes

AI agent architectureLarge language models and multimodal systemsPlanning, memory, and toolsAgent collaborationApplications and limitations of AI

Based on publisher information and book metadata.

Book overview

Artificial intelligence is entering a new phase. AI agents can now reason, plan, and act with increasing independence. From accelerating scientific breakthroughs to supporting creative work, these systems are quickly reshaping industries and everyday life. This book provides the conceptual foundation and practical insights you need to understand and effectively work with this emerging technology.

Through hundreds of clear graphic illustrations, Maarten Grootendorst and Jay Alammar explain how AI agents are built, how they think, and where they're heading. Designed for professionals, students, and curious learners alike, this guide goes beyond the buzz to reveal what's actually happening inside these systems, why it matters, and how to apply the knowledge in real-world contexts. An Illustrated Guide to AI Agents is your essential reference for navigating the next frontier of artificial intelligence.

  • Explore the core architecture of AI agents: tools, memory, and planning
  • Understand reasoning LLMs, multimodal models, and multi-agent collaboration
  • Learn advanced methods, including distillation, quantization, and reinforcement learning
  • Evaluate real-world applications, strengths, and limitations of AI agents
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