9798273994850 - building large language models: step-by-step guide to modern architectures, optimization, and deployment di perry, xyla (6 risultati)
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 27,58
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Master the science - and engineering - behind the world's most powerful AI systems.In Building Large Language Models, you'll learn how today's most advanced AIs - from GPT to LLaMA and Mistral - are trained, optimized, and deployed. This isn't another surface-level overview. It's a hands-on…, code-driven roadmap that takes you from the raw foundations of language modeling to the complete design and scaling of production-grade LLMs.Written by an expert engineer and author in practical AI systems, this guide combines clarity, technical precision, and real-world experience. Each chapter builds on the last - teaching you how to go from understanding transformers to constructing and deploying intelligent models that perform reliably at scale.Whether you're a developer, ML engineer, researcher, or AI enthusiast, this book will show you not just how large language models work, but how to build and optimize them yourself.Inside You'll Learn: Core Foundations: Tokenization, embeddings, attention mechanisms, and transformer architectures explained from the ground up - in plain English.Modern Architectures: Dive deep into encoder-decoder models, decoder-only transformers, state space models, and Mixture-of-Experts systems.Training and Optimization: Learn distributed training (DDP, FSDP, DeepSpeed), mixed precision, checkpointing, gradient accumulation, and FlashAttention.Fine-Tuning Techniques: Apply LoRA, adapters, and prefix/prompt tuning for domain-specific optimization.Evaluation and Scaling: Benchmark with MMLU, HellaSwag, BLEU, and ROUGE; plan data scaling and cost-efficient pipelines.Deployment at Scale: Convert models to ONNX and TensorRT, serve APIs with FastAPI + LangServe, and scale with Docker and Kubernetes.Advanced Topics: Retrieval-Augmented Generation (RAG), vector databases (FAISS, Chroma, Milvus), multimodal LLMs, and agentic AI workflows.Responsible AI: Implement ethical alignment, bias control, data governance, and sustainable model development.Each chapter includes detailed PyTorch examples, Hugging Face integrations, and mini-projects that move from concept to working code.You'll Build Hands-On Projects Including: A next-word prediction model from scratchA 100M-parameter transformer trained with modern optimization techniquesA domain-specific LLM fine-tuned using LoRAA fully functional RAG assistant with embeddings and vector searchA production-ready inference API powered by FastAPI and Docker Every project mirrors real-world workflows used in research labs and enterprise AI engineering teams - ensuring what you learn is directly transferable to your professional or academic work.Who This Book Is ForThis book is for software engineers, AI developers, ML practitioners, data scientists, and researchers who want a complete, practical understanding of LLMs - from architecture to deployment. If you've used ChatGPT or Hugging Face models but want to learn how they're actually built, this book is your gateway.Basic Python and PyTorch knowledge is helpful, but everything is explained step by step, with runnable code and clear guidance for every stage.Why Readers Love This BookDeep yet approachable: Explains complex architectures in plain language without skipping the math or mechanics.Truly hands-on: Every concept comes with code and real datasets - not just theory.Up to date: Covers the latest trends in LLM design - from FlashAttention to MoE and multimodal transformers.Future-ready: Includes advanced insights on agents, long-context memory, sustainability, and LLM governance.Empower yourself to move beyond using AI - to building it. This item is printed on de Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 28,98
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 26,88
EUR 42,94 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Master the science - and engineering - behind the world's most powerful AI systems.In Building Large Language Models, you'll learn how today's most advanced AIs - from GPT to LLaMA and Mistral - are trained, optimized, and deployed. This isn't another surface-level overview. It's a hands-on…, code-driven roadmap that takes you from the raw foundations of language modeling to the complete design and scaling of production-grade LLMs.Written by an expert engineer and author in practical AI systems, this guide combines clarity, technical precision, and real-world experience. Each chapter builds on the last - teaching you how to go from understanding transformers to constructing and deploying intelligent models that perform reliably at scale.Whether you're a developer, ML engineer, researcher, or AI enthusiast, this book will show you not just how large language models work, but how to build and optimize them yourself.Inside You'll Learn: Core Foundations: Tokenization, embeddings, attention mechanisms, and transformer architectures explained from the ground up - in plain English.Modern Architectures: Dive deep into encoder-decoder models, decoder-only transformers, state space models, and Mixture-of-Experts systems.Training and Optimization: Learn distributed training (DDP, FSDP, DeepSpeed), mixed precision, checkpointing, gradient accumulation, and FlashAttention.Fine-Tuning Techniques: Apply LoRA, adapters, and prefix/prompt tuning for domain-specific optimization.Evaluation and Scaling: Benchmark with MMLU, HellaSwag, BLEU, and ROUGE; plan data scaling and cost-efficient pipelines.Deployment at Scale: Convert models to ONNX and TensorRT, serve APIs with FastAPI + LangServe, and scale with Docker and Kubernetes.Advanced Topics: Retrieval-Augmented Generation (RAG), vector databases (FAISS, Chroma, Milvus), multimodal LLMs, and agentic AI workflows.Responsible AI: Implement ethical alignment, bias control, data governance, and sustainable model development.Each chapter includes detailed PyTorch examples, Hugging Face integrations, and mini-projects that move from concept to working code.You'll Build Hands-On Projects Including: A next-word prediction model from scratchA 100M-parameter transformer trained with modern optimization techniquesA domain-specific LLM fine-tuned using LoRAA fully functional RAG assistant with embeddings and vector searchA production-ready inference API powered by FastAPI and Docker Every project mirrors real-world workflows used in research labs and enterprise AI engineering teams - ensuring what you learn is directly transferable to your professional or academic work.Who This Book Is ForThis book is for software engineers, AI developers, ML practitioners, data scientists, and researchers who want a complete, practical understanding of LLMs - from architecture to deployment. If you've used ChatGPT or Hugging Face models but want to learn how they're actually built, this book is your gateway.Basic Python and PyTorch knowledge is helpful, but everything is explained step by step, with runnable code and clear guidance for every stage.Why Readers Love This BookDeep yet approachable: Explains complex architectures in plain language without skipping the math or mechanics.Truly hands-on: Every concept comes with code and real datasets - not just theory.Up to date: Covers the latest trends in LLM design - from FlashAttention to MoE and multimodal transformers.Future-ready: Includes advanced insights on agents, long-context memory, sustainability, and LLM governance.Empower yourself to move beyond using AI - to building it. This item is Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 26,24
EUR 75,44 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New.
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- Print on Demand
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 27,64
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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- Print on Demand
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 23,13
EUR 5,83 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
