Llm Design Patterns
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Llm Design Patterns
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Author : Ken Huang
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-30
Llm Design Patterns written by Ken Huang and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Computers categories.
Explore reusable design patterns, including data-centric approaches, model development, model fine-tuning, and RAG for LLM application development and advanced prompting techniques Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader Key Features Learn comprehensive LLM development, including data prep, training pipelines, and optimization Explore advanced prompting techniques, such as chain-of-thought, tree-of-thought, RAG, and AI agents Implement evaluation metrics, interpretability, and bias detection for fair, reliable models Book DescriptionThis practical guide for AI professionals enables you to build on the power of design patterns to develop robust, scalable, and efficient large language models (LLMs). Written by a global AI expert and popular author driving standards and innovation in Generative AI, security, and strategy, this book covers the end-to-end lifecycle of LLM development and introduces reusable architectural and engineering solutions to common challenges in data handling, model training, evaluation, and deployment. You’ll learn to clean, augment, and annotate large-scale datasets, architect modular training pipelines, and optimize models using hyperparameter tuning, pruning, and quantization. The chapters help you explore regularization, checkpointing, fine-tuning, and advanced prompting methods, such as reason-and-act, as well as implement reflection, multi-step reasoning, and tool use for intelligent task completion. The book also highlights Retrieval-Augmented Generation (RAG), graph-based retrieval, interpretability, fairness, and RLHF, culminating in the creation of agentic LLM systems. By the end of this book, you’ll be equipped with the knowledge and tools to build next-generation LLMs that are adaptable, efficient, safe, and aligned with human values. What you will learn Implement efficient data prep techniques, including cleaning and augmentation Design scalable training pipelines with tuning, regularization, and checkpointing Optimize LLMs via pruning, quantization, and fine-tuning Evaluate models with metrics, cross-validation, and interpretability Understand fairness and detect bias in outputs Develop RLHF strategies to build secure, agentic AI systems Who this book is for This book is essential for AI engineers, architects, data scientists, and software engineers responsible for developing and deploying AI systems powered by large language models. A basic understanding of machine learning concepts and experience in Python programming is a must.
Llm Application Design Patterns
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Author : Peter Flemming
language : en
Publisher: Independently Published
Release Date : 2025-07-17
Llm Application Design Patterns written by Peter Flemming and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-17 with Computers categories.
What if you could build AI apps that think, reason, and adapt-just like human developers do? LLM Design Patterns isn't just another AI book-it's your ultimate playbook for building intelligent, production-ready applications using large language models. Whether you're creating a research assistant, a customer support agent, or a personalized tutor, this guide gives you the architectural blueprints, prompt strategies, and deployment workflows you need to build confidently with generative AI. Inside, you'll discover how to harness the full power of LLMs using proven design patterns-ranging from Retrieval-Augmented Generation (RAG) and agent loops to memory-aware reasoning and multimodal enhancements. You'll go beyond theory with hands-on, real-world projects, complete code examples, and step-by-step tutorials built with LangChain, OpenAI, LangServe, and FastAPI. Key benefits: Master prompt engineering through reusable patterns and templates Architect scalable, agentic AI systems that go beyond basic chatbots Add reasoning, memory, and even vision to your applications Deploy with confidence using modern frameworks like LangServe Learn by doing with full-stack projects and annotated codebases What makes this book truly unique? It's developer-first and battle-tested-blending expert commentary, practical insight, and modern best practices to help you go from idea to intelligent system without the guesswork. Whether you're an AI engineer, software developer, or product builder, this is the resource you've been waiting for to take your LLM skills to the next level. Ready to build smarter apps with generative AI? Start your journey today.
Generative Ai Design Patterns
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Author : Valliappa Lakshmanan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-10-03
Generative Ai Design Patterns written by Valliappa Lakshmanan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-03 with Computers categories.
Generative AI enables powerful new capabilities, but they come with some serious limitations that you'll have to tackle to ship a reliable application or agent. Luckily, experts in the field have compiled a library of 32 tried-and-true design patterns to address the challenges you're likely to encounter when building applications using LLMs, such as hallucinations, nondeterministic responses, and knowledge cutoffs. This book codifies research and real-world experience into advice you can incorporate into your projects. Each pattern describes a problem, shows a proven way to solve it with a fully coded example, and discusses trade-offs. Design around the limitations of LLMs Ensure that generated content follows a specific style, tone, or format Maximize creativity while balancing different types of risk Build agents that plan, self-correct, take action, and collaborate with other agents Compose patterns into agentic applications for a variety of use cases
Artificial General Intelligence
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Author : Matthew Iklé
language : en
Publisher: Springer Nature
Release Date : 2025-08-06
Artificial General Intelligence written by Matthew Iklé and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.
This book constitutes the refereed proceedings of the 18th International Conference on Artificial General Intelligence, AGI 2025, held in Reykjavic, Iceland in August 2025. The 72 full papers included in this book were carefully reviewed and selected from 179 submissions. They were organized in topical sections as follows: novel learning algorithms, reasoning systems, theoretical neurobiology and bio-inspired systems, quantum computing, theories of machine consciousness, ethics, safety, formal mathematical foundations and philosophy of AGI.
Computer Human Interaction Research And Applications
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Author : Hugo Plácido da Silva
language : en
Publisher: Springer Nature
Release Date : 2025-03-06
Computer Human Interaction Research And Applications written by Hugo Plácido da Silva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 with Computers categories.
This two-volume set, CCIS 2370 and CCIS 2371, constitutes the proceedings of the 8th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2024, held Porto, Portugal, during November 21–22, 2024. The 16 full papers and 45 short papers presented in these volumes were carefully reviewed and selected from 76 submissions. These papers focus on the research advancements and practical applications within various areas in the field of Computer-Human Interaction, including Human Factors and Information Systems, Interactive Devices, Interaction Design and Adaptive and Intelligent Systems.
Llms In Enterprise
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Author : Ahmed Menshawy
language : en
Publisher:
Release Date : 2025-09-19
Llms In Enterprise written by Ahmed Menshawy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-19 with Computers categories.
Integrate large language models into your enterprise applications with advanced strategies that drive transformation Key Features Explore design patterns for applying LLMs to solve real-world enterprise problems Learn strategies for scaling and deploying LLMs in complex environments Get more relevant results and improve performance by fine-tuning and optimizing LLMs Purchase of the print or Kindle book includes a free PDF eBook Book Description The integration of large language models (LLMs) into enterprise applications is transforming how businesses use AI to drive smarter decisions and efficient operations. LLMs in Enterprise is your practical guide to bringing these capabilities into real-world business contexts. It demystifies the complexities of LLM deployment and provides a structured approach for enhancing decision-making and operational efficiency with AI.Starting with an introduction to the foundational concepts, the book swiftly moves on to hands-on applications focusing on real-world challenges and solutions. You'll master data strategies and explore design patterns that streamline the optimization and deployment of LLMs in enterprise environments. From fine-tuning techniques to advanced inferencing patterns, the book equips you with a toolkit for solving complex challenges and driving AI-led innovation in business processes.By the end of this book, you'll have a solid grasp of key LLM design patterns and how to apply them to enhance the performance and scalability of your generative AI solutions. What you will learn Apply design patterns to integrate LLMs into enterprise applications for efficiency and scalability Overcome common challenges in scaling and deploying LLMs Use fine-tuning techniques and RAG approaches to enhance LLM efficiency Stay ahead of the curve with insights into emerging trends and advancements, including multimodality Optimize LLM performance through customized contextual models, advanced inferencing engines, and evaluation patterns Ensure fairness, transparency, and accountability in AI applications Who this book is for This book is designed for a diverse group of professionals looking to understand and implement advanced design patterns for LLMs in their enterprise applications, including AI and ML researchers exploring practical applications of LLMs, data scientists and ML engineers designing and implementing large-scale GenAI solutions, enterprise architects and technical leaders who oversee the integration of AI technologies into business processes, and software developers creating scalable GenAI-powered applications.
Ux For Ai
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Author : Greg Nudelman
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-30
Ux For Ai written by Greg Nudelman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.
Learn to research, plan, design, and test the UX of AI-powered products Unlock the future of design with UX for AI—your indispensable guide to not only surviving but thriving in a world powered by artificial intelligence. Whether you're a seasoned UX designer or a budding design student, this book offers a lifeline for navigating the new normal, ensuring you stay relevant, valuable, and indispensable to your organization. In UX for AI: A Framework for Designing AI-Driven Products, Greg Nudelman—a seasoned UX designer and AI strategist—delivers a battle-tested framework that helps you keep your edge, thrive in your design job, and seize the opportunities AI brings to the table. Drawing on insights from 35 real-world AI projects and acknowledging the hard truth that 85% of AI initiatives fail, this book equips you with the practical skills you need to reverse those odds. You'll gain powerful tools to research, plan, design, and test user experiences that seamlessly integrate human-AI interactions. From practical design techniques to proven user research methods, this is the essential guide for anyone determined to create AI products that not only succeed but set new standards of value and impact. Inside the book: Hands-on exercises: Build your confidence and skills with practice UX design tasks like Digital Twin and Value Matrix, which you can immediately apply to your own AI projects. Common AI patterns and best practices: Explore design strategies for LLMs (Large Language Models), search engines, copilots, and more. Proven user research strategies: Learn how to uncover user needs and behaviors in this brave new world of AI-powered design. Real-world case studies: See how simple, practical UX approaches have prevented multimillion-dollar failures and unlocked unprecedented value. Perfect for any UX designer working with AI-enabled and AI-driven products, UX for AI is also a must-read resource for designers-in-training and design students with an interest in artificial intelligence and contemporary design.
Enterprise Information Systems
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Author : Slimane Hammoudi
language : en
Publisher: Springer Nature
Release Date : 2025-10-29
Enterprise Information Systems written by Slimane Hammoudi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-29 with Computers categories.
The two volume set LNBIP 566 - 567 constitutes the refereed post-conference proceedings of the 26th International Conference on Enterprise Information Systems, ICEIS 2024, which was held in Angers, France, during April 2024. The 19 full papers and 18 short papers presented were carefully reviewed and selected from 244 submissions. The proceedings also include one invited paper in full paper length. The purpose of the International Conference on Enterprise Information Systems (ICEIS) is to bring together researchers, engineers and practitioners interested in the advances and business applications of information systems, covering different aspects such as Enterprise Database Technology, Systems Integration, Artificial Intelligence, Decision Support Systems, Information Systems Analysis and Specification, Internet Computing, Electronic Commerce, Human-Computer Interaction and Enterprise Architecture.
Agentic Design Patterns
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Author : Antonio Gullí
language : en
Publisher: Springer Nature
Release Date : 2025-12-01
Agentic Design Patterns written by Antonio Gullí and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-01 with Computers categories.
This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 Design Patterns represents a fundamental building block for creating agents that can perceive their environment, make informed decisions, and execute actions autonomously. Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems is structured as a comprehensive hands-on guide, with each chapter dedicated to a single agentic pattern. Within each chapter, you will find a detailed pattern overview, practical applications and use cases, one or more hands-on code example, and key takeaways for quick review. From foundational concepts such as Prompt Chaining and Tool Use to advanced topics like Multi-Agent Collaboration and Self-Correction, readers will gain practical knowledge they can immediately apply. While the chapters build on each other, you can also use the book as a handy reference, jumping to patterns that address your specific challenges. To provide a tangible "canvas" for the code examples, this guide utilizes three prominent agent development frameworks: LangChain and its extension LangGraph, which offer a flexible way to build complex operational sequences; Crew AI, which provides a structured framework for orchestrating multiple agents; and the Google Agent Developer Kit (Google ADK), which offers tools for building, evaluating, and deploying agents. By showcasing examples across these tools, you will gain a broad understanding of how these patterns can be applied in any technical environment. Building effective agentic systems requires more than just a powerful language model; it demands structure and design. Agentic patterns provide reusable, battle-tested solutions to common challenges, much like design patterns in software engineering. They offer a common language that makes an agent's logic clearer, more maintainable, and more robust. By the end of this journey, you will possess both the theoretical understanding and the practical skills to implement these 21 essential patterns, enabling you to build more intelligent, capable, and autonomous systems on your chosen development canvas.
Machine Learning And Data Mining In Pattern Recognition
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Author :
language : en
Publisher:
Release Date : 2001
Machine Learning And Data Mining In Pattern Recognition written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Data mining categories.