Large language models handbook de tech sammy (9 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. Neuware - Large Language Models have transformed the field of artificial intelligence. What began as research prototypes has evolved into powerful production systems driving real business value across industries. Yet moving from impressive demos to reliable, scalable, and cost-effective deployments remains one of the biggest challenges facing AI teams today.This handbook bridges that critical gap.Written for experienced developers, AI engineers, and technical leaders, Large Language Models (LLMs) Handbook delivers a complete, end-to-end guide to the modern LLM lifecycle. From transformer fundamentals and pre-training principles to advanced fine-tuning, preference alignment, retrieval-augmented generation (RAG), agentic systems, and production-grade inference optimization - every stage is covered with clarity, depth, and practical focus.You will learn how to: - Build and train transformer-based models from scratch- Master parameter-efficient fine-tuning with LoRA, QLoRA, and DoRA- Align models using RLHF, DPO, ORPO, and other state-of-the-art techniques- Design robust RAG systems - from naive retrieval to Graph RAG and Agentic RAG- Build autonomous agents with ReAct, tool use, memory, planning, and multi-agent collaboration- Optimize inference with quantization (GPTQ, AWQ, GGUF), speculative decoding, and continuous batching- Deploy and serve models efficiently using vLLM, TensorRT-LLM, and Ollama- Establish production-grade LLMOps with monitoring, observability, versioning, and governance- Navigate security, ethics, cost optimization, and enterprise scaling challengesEach chapter combines rigorous technical explanations with complete, production-ready code examples, architectural diagrams, real-world production tips, hands-on exercises, and checklists you can apply immediately.Whether you are fine-tuning open-source models, building sophisticated agentic workflows, or scaling LLM applications to thousands of users, this handbook provides the practical knowledge and battle-tested patterns needed to succeed in 2026 and beyond.Perfect for: - Machine Learning Engineers and AI Practitioners- Software Engineers moving into AI systems- Technical leaders and architects responsible for LLM initiatives- Anyone building production-grade applications with Large Language ModelsStay ahead in one of the fastest-moving fields in technology. Master the full LLM lifecycle - from research to reliable production systems. …

Taschenbuch. Condición: Neu. Neuware - The definitive guide to building production-ready AI agents in 2026.As AI shifts from simple chatbots to autonomous systems capable of complex reasoning, planning, and execution, developers and organizations need a clear, practical roadmap. This handbook delivers exactly that.Whether you're an AI engineer, software developer, technical lead, or product builder, this book will teach you how to design, develop, and deploy reliable multi-agent systems that deliver real business value.What You'll Learn- Master the complete agent architecture: LLM brain, tools, memory, planning, and reflection loops- Build production-grade agents using LangGraph - the industry standard in 2026- Design and orchestrate sophisticated multi-agent systems (hierarchical, swarm, debate, and supervisory patterns)- Implement advanced techniques: Plan-and-Execute, ReWOO, Reflexion, dynamic replanning, and deep RAG integration- Deploy agents at scale using serverless, Docker, Kubernetes, and edge computing- Master evaluation, testing, security, guardrails, and responsible AI practices- Learn from real-world case studies across software engineering, finance, healthcare, business automation, and emerging marketsWhy This Book Stands OutWritten by a hands-on AI engineer, this is not another hype-filled book. It is a battle-tested, code-heavy handbook filled with practical examples, complete LangGraph implementations, production deployment patterns, and hard-won lessons from real deployments.You'll move beyond toy agents and learn how to build systems that are: - Reliable and observable- Cost-efficient and scalable- Secure against prompt injection and data leakage- Aligned with enterprise governance and compliance standardsPerfect for: - AI Engineers and Machine Learning Practitioners- Software Developers moving into agentic AI- Technical Leaders and Architects- Product Managers and Innovation TeamsIncludes: - Full working code examples (available on GitHub)- Ready-to-use prompt templates and tool libraries- Evaluation frameworks and monitoring setups- Deployment templates for Kubernetes and serverlessThe future belongs to those who can build autonomous AI systems that don't just answer questions - they get things done.Master the skills that will define the next decade of software development.Order your copy today and start building the intelligent systems of tomorrow.…

Taschenbuch. Condición: Neu. Neuware - In 2026, prompting is no longer a casual skill - it is a core engineering discipline that separates basic AI users from those who build reliable, scalable, and secure intelligent systems.AI Prompting Handbook is the definitive professional guide to mastering prompt engineering from fundamentals to production-grade applications. Written for developers, AI engineers, technical leaders, analysts, and power users, this handbook provides a complete, up-to-date framework for communicating effectively with today's most powerful large language models.Whether you are just beginning your journey or already building complex agentic systems, this book takes you step-by-step through the essential principles and advanced techniques that deliver consistent, measurable results across GPT-4o, Claude 4, Gemini, Grok, Llama, Mistral, and other frontier models.What You Will Master: - The five universal elements of every high-performing prompt- Foundational and advanced reasoning patterns, including Chain-of-Thought, ReAct, Tree of Thoughts, Reflexion, and Graph of Thoughts- Model-specific strategies to extract maximum performance from each major LLM provider- Production-ready agentic workflows with memory, planning, and tool use- Multimodal prompting techniques for images, video, documents, and charts- Systematic prompt evaluation, A/B testing, and automated optimization- Enterprise-grade security, prompt injection defense, and OWASP LLM risk mitigation- Real-world applications in software development, content creation, research, analysis, and strategic decision-makingPacked with practical examples, ready-to-use templates, before-and-after transformations, and hands-on exercises, this handbook serves as both a comprehensive learning path and a daily reference you will return to again and again.Written by Sammy Tech, AI Prompting Handbook delivers the depth and clarity expected from top technical publishers while remaining accessible and immediately applicable.The definitive 2026 guide to professional prompt engineering.Master the skill that powers modern AI systems - from prototype to production.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Large Language Models have transformed the field of artificial intelligence. What began as research prototypes has evolved into powerful production systems driving real business value across industries. Yet moving from impressive demos to reliable, scalable, and cost-effective deployments remains one of the biggest challenges facing AI teams today.This handbook bridges that critical gap.Written for experienced developers, AI engineers, and technical leaders, Large Language Models (LLMs) Handbook delivers a complete, end-to-end guide to the modern LLM lifecycle. From transformer fundamentals and pre-training principles to advanced fine-tuning, preference alignment, retrieval-augmented generation (RAG), agentic systems, and production-grade inference optimization - every stage is covered with clarity, depth, and practical focus.You will learn how to: Build and train transformer-based models from scratchMaster parameter-efficient fine-tuning with LoRA, QLoRA, and DoRAAlign models using RLHF, DPO, ORPO, and other state-of-the-art techniquesDesign robust RAG systems - from naive retrieval to Graph RAG and Agentic RAGBuild autonomous agents with ReAct, tool use, memory, planning, and multi-agent collaborationOptimize inference with quantization (GPTQ, AWQ, GGUF), speculative decoding, and continuous batchingDeploy and serve models efficiently using vLLM, TensorRT-LLM, and OllamaEstablish production-grade LLMOps with monitoring, observability, versioning, and governanceNavigate security, ethics, cost optimization, and enterprise scaling challengesEach chapter combines rigorous technical explanations with complete, production-ready code examples, architectural diagrams, real-world production tips, hands-on exercises, and checklists you can apply immediately.Whether you are fine-tuning open-source models, building sophisticated agentic workflows, or scaling LLM applications to thousands of users, this handbook provides the practical knowledge and battle-tested patterns needed to succeed in 2026 and beyond.Perfect for: Machine Learning Engineers and AI PractitionersSoftware Engineers moving into AI systemsTechnical leaders and architects responsible for LLM initiativesAnyone building production-grade applications with Large Language ModelsStay ahead in one of the fastest-moving fields in technology. Master the full LLM lifecycle - from research to reliable production systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Large Language Models have transformed the field of artificial intelligence. What began as research prototypes has evolved into powerful production systems driving real business value across industries. Yet moving from impressive demos to reliable, scalable, and cost-effective deployments remains one of the biggest challenges facing AI teams today.This handbook bridges that critical gap.Written for experienced developers, AI engineers, and technical leaders, Large Language Models (LLMs) Handbook delivers a complete, end-to-end guide to the modern LLM lifecycle. From transformer fundamentals and pre-training principles to advanced fine-tuning, preference alignment, retrieval-augmented generation (RAG), agentic systems, and production-grade inference optimization - every stage is covered with clarity, depth, and practical focus.You will learn how to: Build and train transformer-based models from scratchMaster parameter-efficient fine-tuning with LoRA, QLoRA, and DoRAAlign models using RLHF, DPO, ORPO, and other state-of-the-art techniquesDesign robust RAG systems - from naive retrieval to Graph RAG and Agentic RAGBuild autonomous agents with ReAct, tool use, memory, planning, and multi-agent collaborationOptimize inference with quantization (GPTQ, AWQ, GGUF), speculative decoding, and continuous batchingDeploy and serve models efficiently using vLLM, TensorRT-LLM, and OllamaEstablish production-grade LLMOps with monitoring, observability, versioning, and governanceNavigate security, ethics, cost optimization, and enterprise scaling challengesEach chapter combines rigorous technical explanations with complete, production-ready code examples, architectural diagrams, real-world production tips, hands-on exercises, and checklists you can apply immediately.Whether you are fine-tuning open-source models, building sophisticated agentic workflows, or scaling LLM applications to thousands of users, this handbook provides the practical knowledge and battle-tested patterns needed to succeed in 2026 and beyond.Perfect for: Machine Learning Engineers and AI PractitionersSoftware Engineers moving into AI systemsTechnical leaders and architects responsible for LLM initiativesAnyone building production-grade applications with Large Language ModelsStay ahead in one of the fastest-moving fields in technology. Master the full LLM lifecycle - from research to reliable production systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…