Small Language Models for Mobile Devices
Language: English
Published by Independently Published, 2026
- Softcover
- New
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
AbeBooks seller since June 11, 1999
Condition: New
US$ 21.89
Quantity: Over 20 available
Add to basketItem description from seller
New Book. Shipped from UK. Established seller since 2000.
Seller Inventory # L2-9798259071360
- Title
- Small Language Models for Mobile Devices
- Author
- Thomas O Greene
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 13
- 9798259071360
- Item weight
- 249 grams
The Cloud is hitting a wall. Latency is killing your user experience. Privacy is becoming a legal minefield. And API costs are bleeding your startup dry.
Now, the "God Models" have moved from massive data centers into the palm of your hand.
In Small Language Models for Mobile Devices, visionary developer and engineer Thomas O. Greene reveals the blueprint for the most significant shift in computing since the smartphone itself: The Silicon Sovereignty.
We are moving away from "Intelligence-as-a-Service" and toward "Intelligence-as-a-Utility." This book is your technical manifesto and hands-on guide to building, optimizing, and deploying high-performance AI that runs 100% offline, with sub-50ms latency, on standard Android and iOS hardware.
What’s Inside the Engine Room?
- The Architecture of Efficiency: Deep-dives into Phi-4, Gemma, and Llama-3-Mobile. Learn why "small" doesn't mean "weak" when you master Grouped-Query Attention (GQA) and Rotary Embeddings.
- The Magic of Quantization: Step-by-step techniques to squeeze 7B parameter models into 4GB of RAM using INT4, NF4, and the 1.58-bit Binary Frontier.
- Next-Gen Frameworks: Master ExecuTorch (PyTorch Edge), Apple MLX, and Android AICore to talk directly to the NPU silicon.
- Beyond Text: Deploy Multi-Modal SLMs that "see" through the camera and "hear" through the mic with native audio-to-audio processing.
- The Agentic Revolution: Build Large Action Models (LAMs) that navigate mobile UIs, booking rides and sending messages without a single cloud request.
- The Future is Liquid: An exclusive look at Liquid Neural Networks (LNNs)—the breakthrough for infinite context and constant memory footprints.
Whether you are a Mobile Developer tired of "Cloud Fatigue," a Machine Learning Engineer fighting the "Memory Wall," or a Tech Leader demanding "Privacy-First" AI, this book provides the code, the math, and the strategy to win.
The era of the "Frozen Snapshot" LLM is over. The era of the Fluid, Private, and Autonomous Mobile Agent has begun.
Stop sending your users' data to a third-party server. Take the red pill of Data Sovereignty and build the private, powerful, and portable future today.
"Synopsis" may belong to another edition of this title.
PBShop.store UK
Fairford, GLOS, United Kingdom
AbeBooks seller since June 11, 1999
Shipping rates from United Kingdom to U.S.A.
| Item | 10 to 20 business days | 10 to 20 business days |
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