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Hierarchical Reasoning Model: Laptop Version (Toward Artificial SuperIntelligence)
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.48 kg
0.48 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- The Hierarchical Reasoning Model tells the extraordinary story of humanity's quest to create machines that can truly reason, weaving together a historical narrative, scientific discoveries, and hands-on programming into a unique, dual-purpose work. Part memoir of AI's evolution, part practical programming guide, this book takes readers on a journey from the rule-based expert systems of the 1970s through the deep learning revolution to the breakthrough of the Hierarchical Reasoning Model (HRM)—a brain-inspired architecture that achieves remarkable reasoning capabilities with minimal computational resources. Each chapter opens with a compelling historical narrative about key moments and figures in AI's development, then transitions into practical Python implementations that allow readers to build their own reasoning systems. The book demonstrates that the same HRM architecture can not only solve complex Sudoku puzzles but also learn to play strategic games like Tic-Tac-Toe, predict mathematical sequences, perform arithmetic calculations, and recognize handwritten digits with 97.38% accuracy—all running on a standard Windows laptop without any GPU. The culmination comes in Chapter 12, where readers discover they can train a complete HRM implementation in just 25.8 minutes using only their laptop's CPU. This model proves that powerful AI doesn't require massive computational resources or cloud services. The chapter then reveals the architecture's true versatility by showing how the same hierarchical reasoning structure adapts to diverse problems from game playing to pattern recognition, each trainable in seconds to minutes on consumer hardware. Written for both AI enthusiasts and practitioners, the book bridges the gap between understanding how reasoning systems evolved and actually building them. Through complete, working code examples compatible with Python 3.12 and PyTorch 2.8.0+cpu, readers can immediately experiment with and extend these systems on their own machines. This democratization of AI—making cutting-edge research accessible through story and code—transforms abstract concepts into tangible tools that anyone with a laptop can use to explore the frontiers of machine reasoning.
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S/ 133.64
44% OFF
S/ 74.25
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