Anthony Tinline (55 results)

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Taschenbuch. Condition: Neu. Neuware - Ollama for Local AI Handbook: Run, Optimize, and Ship Private AI Workflows on macOS, Windows, and LinuxTired of sending sensitive prompts, private documents, source code, and workflow data to cloud AI platforms you do not fully control Ollama for Local AI Handbook gives developers, builders, and serious AI users a practical path to running powerful local AI systems directly on their own machines. Built around Ollama, this handbook shows how to install, run, customize, optimize, and ship private AI workflows across macOS, Windows, and Linux, with a strong focus on real-world implementation rather than theory. The book's structure moves from environment setup and model management to APIs, structured outputs, Modelfiles, performance tuning, private RAG, tool calling, vision models, developer integrations, deployment, and long-term maintenance.Inside, readers learn how to: - Run local LLMs confidently with the Ollama CLI and API- Choose the right models for RAM, VRAM, storage, and operating system constraints- Build private document Q&A, semantic search, and RAG workflows- Create reliable JSON outputs for automation and application pipelines- Customize models with Modelfiles for coding, writing, research, and internal tools- Connect Ollama to Open WebUI, VS Code, scripts, and OpenAI-compatible clients- Package and ship local AI systems other people can run without cloud lock-inWhether you are building a private coding assistant, offline research tool, local automation pipeline, or secure AI workspace, this book helps you turn Ollama into a dependable local AI engine for everyday professional work.Order this book today and start building private, practical, cross-platform AI workflows on your own hardware.…

Paperback. Condition: New.

Paperback. Condition: New.

Paperback. Condition: new. Paperback. Ollama for Local AI Handbook: Run, Optimize, and Ship Private AI Workflows on macOS, Windows, and LinuxTired of sending sensitive prompts, private documents, source code, and workflow data to cloud AI platforms you do not fully control?Ollama for Local AI Handbook gives developers, builders, and serious AI users a practical path to running powerful local AI systems directly on their own machines. Built around Ollama, this handbook shows how to install, run, customize, optimize, and ship private AI workflows across macOS, Windows, and Linux, with a strong focus on real-world implementation rather than theory. The book's structure moves from environment setup and model management to APIs, structured outputs, Modelfiles, performance tuning, private RAG, tool calling, vision models, developer integrations, deployment, and long-term maintenance.Inside, readers learn how to: Run local LLMs confidently with the Ollama CLI and APIChoose the right models for RAM, VRAM, storage, and operating system constraintsBuild private document Q&A, semantic search, and RAG workflowsCreate reliable JSON outputs for automation and application pipelinesCustomize models with Modelfiles for coding, writing, research, and internal toolsConnect Ollama to Open WebUI, VS Code, scripts, and OpenAI-compatible clientsPackage and ship local AI systems other people can run without cloud lock-inWhether you are building a private coding assistant, offline research tool, local automation pipeline, or secure AI workspace, this book helps you turn Ollama into a dependable local AI engine for everyday professional work.Order this book today and start building private, practical, cross-platform AI workflows on your own hardware. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condition: new. Paperback. OpenCL for Edge AI and On-Device Inference: Build High-Performance Mobile and Embedded AI Systems with GPU Acceleration, Computer Vision Pipelines, and Real-Time DeploymentEdge AI promises speed, privacy, and lower cloud costs, but getting models to run smoothly on real mobile and embedded hardware is where most projects break down. Latency spikes, battery drain, limited memory, hardware fragmentation, and unreliable deployment pipelines can turn a promising prototype into a frustrating dead end. This book is built for engineers who need more than theory. It shows how to make on-device inference actually work, and work fast.OpenCL for Edge AI and On-Device Inference gives you a practical path to building GPU-accelerated AI systems for phones, embedded Linux boards, and edge devices. It covers the full implementation pipeline, from setting up OpenCL environments and writing efficient kernels to building inference engines, optimizing computer vision workloads, handling quantization, and shipping real-time applications on Android and embedded platforms. Rather than treating performance as a vague goal, this book focuses on measurable engineering decisions that improve throughput, reduce latency, and help your systems stay reliable under real deployment constraints.Inside, you will learn how to: build OpenCL kernels for AI primitives, tensor operations, and vision workloadsoptimize memory movement, tiling, scheduling, and synchronization for edge hardwarecreate end-to-end inference pipelines for mobile and embedded deploymentintegrate OpenCL with Android, OpenCV, and real-time camera workflowsapply FP16, INT8, and low-precision strategies for faster on-device inferenceprofile, debug, and tune systems for sustained performance, thermal limits, and production stabilityIf you want to build mobile AI, embedded AI, GPU inference, and computer vision systems that are fast, portable, and ready for real-world use, this book gives you the implementation-focused guidance to do it with confidence. Get your copy now and start building edge AI systems that deliver results where they matter most: on the device. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.