Are you tired of sluggish AI models that rely on the cloud and heavy GPUs? Small Language NLP for Developers is your hands-on guide to building lightweight, low-latency NLP models that run efficiently on your laptop, Raspberry Pi, or mobile device.
Inside, Aaron Blake walks you step-by-step through:
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. Are you tired of sluggish AI models that rely on the cloud and heavy GPUs? Small Language NLP for Developers is your hands-on guide to building lightweight, low-latency NLP models that run efficiently on your laptop, Raspberry Pi, or mobile device.Inside, Aaron Blake walks you step-by-step through: Quantization & Benchmarking: Deploy 8-bit and 4-bit models for sub-100ms inferenceModel Compression: Use structured/unstructured pruning and LoRA/QLoRA adaptersOn-Device Deployment: Docker, Python pipelines, and CPU-only setupsLangChain & llama-cpp-python Integration: Build agentic workflows and conversational pipelinesCI/CD Automation: Convert, test, and release production-ready modelsEach chapter delivers real-world examples and ready-to-run code, guiding you from environment setup to fully functioning NLP pipelines.Transform your AI projects with fast, efficient, and private NLP models-no cloud required.Perfect for developers, ML engineers, and AI enthusiasts looking to run powerful AI locally. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798274878623
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798274878623
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Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Are you tired of sluggish AI models that rely on the cloud and heavy GPUs? Small Language NLP for Developers is your hands-on guide to building lightweight, low-latency NLP models that run efficiently on your laptop, Raspberry Pi, or mobile device.Inside, Aaron Blake walks you step-by-step through: Quantization & Benchmarking: Deploy 8-bit and 4-bit models for sub-100ms inferenceModel Compression: Use structured/unstructured pruning and LoRA/QLoRA adaptersOn-Device Deployment: Docker, Python pipelines, and CPU-only setupsLangChain & llama-cpp-python Integration: Build agentic workflows and conversational pipelinesCI/CD Automation: Convert, test, and release production-ready modelsEach chapter delivers real-world examples and ready-to-run code, guiding you from environment setup to fully functioning NLP pipelines.Transform your AI projects with fast, efficient, and private NLP models-no cloud required.Perfect for developers, ML engineers, and AI enthusiasts looking to run powerful AI locally. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798274878623
Quantity: 1 available