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276958035
An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with LLMs, Tools, and Memory
85% of respondents would recommend this to a friend
Item #:
276958035
ZAR 2331
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- 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 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
| Publisher | O'Reilly Media |
| Publication date | 25 Sept. 2026 |
| Language | English |
| Print length | 450 pages |
| ISBN-13 | 979-8341662698 |
| Item weight | 712 g |
| Dimensions | 17.78 x 2.31 x 23.34 cm |
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Paperback Generative AI Editorial Review
An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with LLMs Tools and Memory provides a comprehensive look into the development of AI agents, backed by 450 pages of insightful content published by O'Reilly Media. It covers essential concepts and practical coding techniques, making it suitable for both beginners and seasoned developers. The book, available in English, emphasizes real-world application with the latest tools and memory integration for AI. Its well-structured format ensures that readers can easily digest complex topics. This resource has been well-received for its clarity and depth.
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Pros
- Comprehensive content on AI agent development
- Structured format for easy comprehension
- Suitable for both beginners and advanced users
- Insights into LLM tools and memory integration
- Published by reputable O'Reilly Media
Cons
- Lengthy, which may be overwhelming for some readers
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