1
/
of
1
Jay Alammar
An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with LLMs, Tools, and Memory
An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with LLMs, Tools, and Memory
💎 Earn 226 Points (£2.26) on this item.
Regular price
£45.30 GBP
Regular price
£63.99 GBP
Sale price
£45.30 GBP
Unit price
/
per
Taxes included.
Shipping calculated at checkout.
YOU SAVE £18.69
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £3.89. Subject to product weight & dimension
Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.
Couldn't load pickup availability
- More about An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with LLMs, Tools, and Memory
Artificial intelligence is entering a new phase. No longer limited to answering prompts or completing simple writing tasks, 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. With its visual storytelling and accessible explanations, 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 planningUnderstand reasoning LLMs, multimodal models, and multi-agent collaborationLearn advanced methods, including distillation, quantization, and reinforcement learningEvaluate real-world applications, strengths, and limitations of AI agents
- Publication date: 30 September 2026
- Page count: 450
- Dimensions: Height 232 mm; Width 178 mm
- Publisher: O'Reilly Media
- Format: Paperback
- ISBN-13: 9798341662698
UK and International shipping information
UK and International shipping information
We deliver throughout the United Kingdom and to 128 countries and territories worldwide, including the United States, Australia, Canada, Germany, Spain and France.
