9798266890879 - edge ai with transformers: deploying and optimizing llms on raspberry pi and arm devices : build realworld onnx pipelines, apply int8 quantization, and unlock fast, efficient inference anywhere de gabe, avis (5 resultados)
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Neuware - Edge AI with Transformers: Deploying and Optimizing LLMs on Raspberry Pi and ARM Devices.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Paperback. Condición: new. Paperback. Edge AI with Transformers: Deploying and Optimizing LLMs on Raspberry Pi and ARM DevicesWhat if you could put the power of advanced language models and cutting-edge AI in the palm of your hand-no cloud required? Developers and innovators everywhere are asking: Can I actually run real transfo…rmer models on affordable edge hardware like Raspberry Pi? And will it be fast, accurate, and reliable enough for real-world applications?This book is your definitive answer.Edge AI with Transformers delivers an actionable, hands-on blueprint for building, optimizing, and deploying transformer-based large language models on resource-constrained devices. If you're tired of generic theory and want proven, field-tested workflows that work on actual hardware, this guide is written for you. Go beyond hype and see exactly how to convert PyTorch models to ONNX, quantize for speed and efficiency, and run blazing-fast inference on ARM platforms-whether you're launching a personal assistant, smart IoT solution, or next-generation embedded system.Inside, you'll master: The exact model export pipelines (PyTorch to ONNX) that power real edge deploymentsStep-by-step quantization techniques for dramatic reductions in memory and latency-without sacrificing accuracyTuning tricks for squeezing maximum throughput and minimum power use from Raspberry Pi, Jetson, and custom ARM boardsBuilding and benchmarking reproducible pipelines, with everything version-pinned and ready to replicateDebugging and troubleshooting strategies used by top edge AI engineers in productionYou'll discover how to: Set up a reproducible development environment for any edge platformSolve the practical challenges of exporting, quantizing, and running LLMs locallyAnalyze and boost inference speed, manage memory, and avoid common pitfallsPackage your solution with containers, automate model updates, and secure your deploymentApply your skills to real case studies: from text classification to generative AI-all running at the edgeStop waiting for the cloud. Transform how you build, deploy, and scale intelligent systems by putting powerful AI right where you need it-on the device itself.Ready to move your AI from theory to hardware? Grab your copy of Edge AI with Transformers and build the future at the edge-today. 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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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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Paperback. Condición: new. Paperback. Edge AI with Transformers: Deploying and Optimizing LLMs on Raspberry Pi and ARM DevicesWhat if you could put the power of advanced language models and cutting-edge AI in the palm of your hand-no cloud required? Developers and innovators everywhere are asking: Can I actually run real transfo…rmer models on affordable edge hardware like Raspberry Pi? And will it be fast, accurate, and reliable enough for real-world applications?This book is your definitive answer.Edge AI with Transformers delivers an actionable, hands-on blueprint for building, optimizing, and deploying transformer-based large language models on resource-constrained devices. If you're tired of generic theory and want proven, field-tested workflows that work on actual hardware, this guide is written for you. Go beyond hype and see exactly how to convert PyTorch models to ONNX, quantize for speed and efficiency, and run blazing-fast inference on ARM platforms-whether you're launching a personal assistant, smart IoT solution, or next-generation embedded system.Inside, you'll master: The exact model export pipelines (PyTorch to ONNX) that power real edge deploymentsStep-by-step quantization techniques for dramatic reductions in memory and latency-without sacrificing accuracyTuning tricks for squeezing maximum throughput and minimum power use from Raspberry Pi, Jetson, and custom ARM boardsBuilding and benchmarking reproducible pipelines, with everything version-pinned and ready to replicateDebugging and troubleshooting strategies used by top edge AI engineers in productionYou'll discover how to: Set up a reproducible development environment for any edge platformSolve the practical challenges of exporting, quantizing, and running LLMs locallyAnalyze and boost inference speed, manage memory, and avoid common pitfallsPackage your solution with containers, automate model updates, and secure your deploymentApply your skills to real case studies: from text classification to generative AI-all running at the edgeStop waiting for the cloud. Transform how you build, deploy, and scale intelligent systems by putting powerful AI right where you need it-on the device itself.Ready to move your AI from theory to hardware? Grab your copy of Edge AI with Transformers and build the future at the edge-today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
