Llm Engineer S Handbook
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Llm Engineer S Handbook
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Author : Paul Iusztin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-22
Llm Engineer S Handbook written by Paul Iusztin 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 2024-10-22 with Computers categories.
Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Key Features Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications Book DescriptionArtificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.What you will learn Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine it with the help of hands-on examples Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring Perform supervised fine-tuning and LLM evaluation Deploy end-to-end LLM solutions using AWS and other tools Design scalable and modularLLM systems Learn about RAG applications by building a feature and inference pipeline Who this book is for This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios
The Complete Llm Engineer S Handbook From Conceptualization To Production Of Large Language Models
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Author : Sammy Oneal
language : en
Publisher: DIGITAL BLUE INC.
Release Date : 2025-04-07
The Complete Llm Engineer S Handbook From Conceptualization To Production Of Large Language Models written by Sammy Oneal and has been published by DIGITAL BLUE INC. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-07 with Computers categories.
The world of Large Language Models (LLMs) is rapidly evolving, transforming industries and redefining the boundaries of artificial intelligence. "The Complete LLM Engineer's Handbook: From Conceptualization to Production of Large Language Models" is your comprehensive guide to understanding and mastering this cutting-edge technology. This book offers a thorough exploration of LLMs, from their foundational concepts to their practical applications in real-world scenarios. Whether you are a seasoned engineer, a curious researcher, or a tech enthusiast, this handbook is designed to equip you with the knowledge and skills needed to navigate the complexities of LLMs. This book delves into the intricate process of developing and deploying LLMs, providing a step-by-step approach that covers everything from the initial conceptualization to the final production stages. Readers will gain insights into the theoretical underpinnings of LLMs, including the latest advancements in natural language processing and machine learning. Practical examples and case studies are interspersed throughout the text, illustrating how these models can be fine-tuned and optimized for various applications, such as chatbots, content generation, and data analysis.
Model Engineer S Handbook
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Author : Tubal Cain
language : en
Publisher:
Release Date : 1986
Model Engineer S Handbook written by Tubal Cain and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Engineering models categories.
Reliability Engineering Handbook
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Author : Kececioglu Dimitri B
language : en
Publisher: DEStech Publications, Inc
Release Date : 2002
Reliability Engineering Handbook written by Kececioglu Dimitri B and has been published by DEStech Publications, Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Technology & Engineering categories.
Designed to be used in engineering education and industrial practice, this book provides a comprehensive presentation of reliability engineering for optimized design engineering of products, parts, components and equipment.
Llm
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Author : 폴 이우수틴(Paul Iusztin)
language : ko
Publisher: 한빛미디어
Release Date : 2025-05-12
Llm written by 폴 이우수틴(Paul Iusztin) and has been published by 한빛미디어 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Computers categories.
LLM 엔지니어링의 모든 것을 망라한 실전 가이드 이 책은 프로덕션 수준의 LLM 애플리케이션을 개발하고 배포하는 데 필요한 엔지니어링 방법들을 상세히 안내한다. LLM 라이프사이클을 체계적으로 살펴보며, 데이터 엔지니어링부터 지도 학습 파인튜닝, 모델 평가, 추론 최적화, RAG 파이프라인 개발까지 핵심 개념과 실용적인 기술들을 다룬다. 이 과정에서 ‘LLM Twin’이라는 실제 프로젝트를 통해 개인의 글쓰기 스타일과 성격을 모방하는 AI를 구현하며, 데이터 수집과 전처리, 모델 파인튜닝 등 LLM 엔지니어링의 실전 노하우를 깊이 있게 익힐 수 있다. 이 책이 제시하는 실질적인 로드맵을 따라 데이터 수집부터 모델 최적화까지의 전 과정을 단계별로 학습해보며, LLM 엔지니어링 역량을 한 단계 더 높이길 바란다. 누구를 위한 책 인가요? LLM 개발자: 챗GPT 활용을 넘어, 직접 AI 시스템을 만들고 싶은 개발자 AI 엔지니어: RAG, LoRA·QLoRA 등 최신 기법을 실습하고 싶은 전문가 ML 시스템 엔지니어: LLMOps 기반으로 AI를 서비스에 안정적으로 배포·운영하고 싶은 분 기술 리더: 데이터 설계부터 배포까지 LLM 구축 전 과정을 체계적으로 배우고 싶은 팀장 무엇을 주로 다루나요? LLM 애플리케이션 아키텍처 설계: 개인화된 AI 캐릭터 ‘LLM Twin’ 기획 및 시스템 구성 데이터 수집 및 전처리: 웹스크래핑 + 몽고DB·Qdrant 기반 데이터 저장·검색 RAG 파이프라인 개발: 고급 아키텍처 설계 및 문서 기반 지시문-답변 구현 지도 학습 파인튜닝(SFT): 지시문 데이터셋 생성 + LoRA·QLoRA 활용 직접 선호 최적화(DPO): 사용자 선호를 반영한 정렬 파인튜닝 모델 평가 및 튜닝: LLM·RAG 성능 측정 및 TwinLlama 실험 추론 최적화: 양자화, 병렬 처리 등 실시간 추론 성능 향상 LLM 애플리케이션 배포: FastAPI 서버 구현 + 오토스케일링 기반 배포 LLMOps 실전 적용: 버전 관리·모니터링 등 운영 자동화 전략
Handbook Of Research On Protecting And Managing Global Indigenous Knowledge Systems
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Author : Tshifhumulo, Rendani
language : en
Publisher: IGI Global
Release Date : 2021-10-08
Handbook Of Research On Protecting And Managing Global Indigenous Knowledge Systems written by Tshifhumulo, Rendani and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-08 with Social Science categories.
Indigenous knowledge systems (IKS) are a combination of knowledge systems encompassing technology; social, economic, and philosophical learning; or educational, legal, and governance systems. The lack of documentation of these systems presents a problem as the knowledge is fading away over time. In response, it is essential that policies and strategies are undertaken to ensure that these systems are protected and sustained for generations to come. The Handbook of Research on Protecting and Managing Global Indigenous Knowledge Systems is a comprehensive reference source that works to preserve indigenous knowledge systems through research. Focusing on key concepts such as tools of indigenous knowledge management and African indigenous symbols, the book preserves and promotes indigenous knowledge through research and fills the void staff and students within the field of indigenous knowledge systems face with the current lack of research and resources. This book is ideal for university students, lecturers, researchers, academicians, policymakers, historians, sociologists, and anyone interested in the field of indigenous knowledge systems.
Handbook On Human Rights Impact Assessment
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Author : Nora Götzmann
language : en
Publisher: Edward Elgar Publishing
Release Date :
Handbook On Human Rights Impact Assessment written by Nora Götzmann and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Political Science categories.
Human rights impact assessment (HRIA) has increasingly gained traction among state, business and civil society actors since the endorsement of the United Nations Guiding Principles on Business and Human Rights by the Human Rights Council in 2011. This timely and insightful Handbook addresses HRIA in the context of business and human rights.
Handbook Of Blockchain Technology
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Author : Marinos Themistocleous
language : en
Publisher: Edward Elgar Publishing
Release Date : 2025-02-12
Handbook Of Blockchain Technology written by Marinos Themistocleous and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-12 with Technology & Engineering categories.
This Handbook provides an interdisciplinary investigation into the role and influence of blockchain technology in areas such as the Metaverse, Non-Fungible Tokens (NFTs), tokenization, algorithmic governance, fraud and crime prevention. Drawing on cutting-edge research and analysis from leading experts in the field, it demystifies the complex nature of blockchain and its mechanisms, applications and potentials.
The Handbook Of Nlp With Gensim
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Author : Chris Kuo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-10-27
The Handbook Of Nlp With Gensim written by Chris Kuo 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 2023-10-27 with Computers categories.
Elevate your natural language processing skills with Gensim and become proficient in handling a wide range of NLP tasks and projects Key Features Advance your NLP skills with this comprehensive guide covering detailed explanations and code practices Build real-world topical modeling pipelines and fine-tune hyperparameters to deliver optimal results Adhere to the real-world industrial applications of topic modeling in medical, legal, and other fields Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionNavigating the terrain of NLP research and applying it practically can be a formidable task made easy with The Handbook of NLP with Gensim. This book demystifies NLP and equips you with hands-on strategies spanning healthcare, e-commerce, finance, and more to enable you to leverage Gensim in real-world scenarios. You’ll begin by exploring motives and techniques for extracting text information like bag-of-words, TF-IDF, and word embeddings. This book will then guide you on topic modeling using methods such as Latent Semantic Analysis (LSA) for dimensionality reduction and discovering latent semantic relationships in text data, Latent Dirichlet Allocation (LDA) for probabilistic topic modeling, and Ensemble LDA to enhance topic modeling stability and accuracy. Next, you’ll learn text summarization techniques with Word2Vec and Doc2Vec to build the modeling pipeline and optimize models using hyperparameters. As you get acquainted with practical applications in various industries, this book will inspire you to design innovative projects. Alongside topic modeling, you’ll also explore named entity handling and NER tools, modeling procedures, and tools for effective topic modeling applications. By the end of this book, you’ll have mastered the techniques essential to create applications with Gensim and integrate NLP into your business processes.What you will learn Convert text into numerical values such as bag-of-word, TF-IDF, and word embedding Use various NLP techniques with Gensim, including Word2Vec, Doc2Vec, LSA, FastText, LDA, and Ensemble LDA Build topical modeling pipelines and visualize the results of topic models Implement text summarization for legal, clinical, or other documents Apply core NLP techniques in healthcare, finance, and e-commerce Create efficient chatbots by harnessing Gensim's NLP capabilities Who this book is forThis book is for data scientists and professionals who want to become proficient in topic modeling with Gensim. NLP practitioners can use this book as a code reference, while students or those considering a career transition will find this a valuable resource for advancing in the field of NLP. This book contains real-world applications for biomedical, healthcare, legal, and operations, making it a helpful guide for project managers designing their own topic modeling applications.
Large Language Models For Sustainable Urban Development
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Author : Nitin Liladhar Rane
language : en
Publisher: Springer Nature
Release Date : 2025-07-01
Large Language Models For Sustainable Urban Development written by Nitin Liladhar Rane and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.
With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines. Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures.