Large Language Model Based Solutions
DOWNLOAD
Download Large Language Model Based Solutions PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Large Language Model Based Solutions book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Large Language Model Based Solutions
DOWNLOAD
Author : Shreyas Subramanian
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-02
Large Language Model Based Solutions written by Shreyas Subramanian 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 2024-04-02 with Computers categories.
Learn to build cost-effective apps using Large Language Models In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine tuning. The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: Effective strategies to address the challenge of the high computational cost associated with LLMs Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models Perfect for developers and data scientists interested in deploying foundational models, or business leaders planning to scale out their use of GenAI, Large Language Model-Based Solutions will also benefit project leaders and managers, technical support staff, and administrators with an interest or stake in the subject.
Theory And Practice Of Quality Assurance For Machine Learning Systems
DOWNLOAD
Author : Samuel Ackerman
language : en
Publisher: Springer Nature
Release Date : 2024-10-26
Theory And Practice Of Quality Assurance For Machine Learning Systems written by Samuel Ackerman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Computers categories.
This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that include and surround machine learning models. Crafting ML based systems that are business-grade is highly challenging, as it requires statistical control throughout the complete system development life cycle. To this end, the book introduces an “experiment first” approach, stressing the need to define statistical experiments from the beginning of the development life cycle and presenting methods for careful quantification of business requirements and identification of key factors that impact business requirements. Applying these methods reduces the risk of failure of an ML development project and of the resultant, deployed ML system. The presentation is complemented by numerous best practices, case studies and practical as well as theoretical exercises and their solutions, designed to facilitate understanding of the ideas, concepts and methods introduced. The goal of this book is to empower scientists, engineers, and software developers with the knowledge and skills necessary to create robust and reliable ML software.
The Routledge Handbook Of The Translation Industry
DOWNLOAD
Author : Callum Walker
language : en
Publisher: Taylor & Francis
Release Date : 2025-07-31
The Routledge Handbook Of The Translation Industry written by Callum Walker and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-31 with Language Arts & Disciplines categories.
The Routledge Handbook of the Translation Industry provides an accessible and comprehensive overview of current and emerging practices, workflows, and processes in the translation industry, the professional and socio-economic contexts in which industry actors operate, and best practices in translation industry teaching and research in this rapidly developing field. Comprising 33 chapters from scholarly and industry voices, this handbook addresses the many issues arising from growing technologisation, new trends in translation procurement and production, and increasing pressures on the range of actors in the translation industry. The content spans both bottom-up and top-down perspectives, using a variety of theoretical, praxiological, and data-driven approaches. In addition to providing coverage of a range of well-established professional profiles, workflows, and resources, this handbook adopts a novel approach in addressing emerging topics such as global sustainable development and wellbeing, economics, the platform economy, and social media and the influencer economy. The opening mapping chapter and final roundtable chapter provide fitting conceptual and forward-looking bookends for the content. This handbook offers a topical and much-needed forum to engage with the challenges and opportunities facing the translation industry and constitutes an essential point of reference for students and researchers of translation as well as industry practitioners and professionals.
Large Language Models For Developers
DOWNLOAD
Author : Oswald Campesato
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-12-26
Large Language Models For Developers written by Oswald Campesato and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
This book offers a thorough exploration of Large Language Models (LLMs), guiding developers through the evolving landscape of generative AI and equipping them with the skills to utilize LLMs in practical applications. Designed for developers with a foundational understanding of machine learning, this book covers essential topics such as prompt engineering techniques, fine-tuning methods, attention mechanisms, and quantization strategies to optimize and deploy LLMs. Beginning with an introduction to generative AI, the book explains distinctions between conversational AI and generative models like GPT-4 and BERT, laying the groundwork for prompt engineering (Chapters 2 and 3). Some of the LLMs that are used for generating completions to prompts include Llama-3.1 405B, Llama 3, GPT-4o, Claude 3, Google Gemini, and Meta AI. Readers learn the art of creating effective prompts, covering advanced methods like Chain of Thought (CoT) and Tree of Thought prompts. As the book progresses, it details fine-tuning techniques (Chapters 5 and 6), demonstrating how to customize LLMs for specific tasks through methods like LoRA and QLoRA, and includes Python code samples for hands-on learning. Readers are also introduced to the transformer architecture’s attention mechanism (Chapter 8), with step-by-step guidance on implementing self-attention layers. For developers aiming to optimize LLM performance, the book concludes with quantization techniques (Chapters 9 and 10), exploring strategies like dynamic quantization and probabilistic quantization, which help reduce model size without sacrificing performance. FEATURES • Covers the full lifecycle of working with LLMs, from model selection to deployment • Includes code samples using practical Python code for implementing prompt engineering, fine-tuning, and quantization • Teaches readers to enhance model efficiency with advanced optimization techniques • Includes companion files with code and images -- available from the publisher
Scaling Enterprise Solutions With Large Language Models
DOWNLOAD
Author : Arindam Ganguly
language : en
Publisher: Springer Nature
Release Date : 2025-05-20
Scaling Enterprise Solutions With Large Language Models written by Arindam Ganguly and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.
Artificial Intelligence (AI) is the bedrock of today's applications, propelling the field towards Artificial General Intelligence (AGI). Despite this advancement, integrating such breakthroughs into large-scale production-grade enterprise applications presents significant challenges. This book addresses these hurdles in the domain of large language models within enterprise solutions. By leveraging Big Data engineering and popular data cataloguing tools, you’ll see how to transform challenges into opportunities, emphasizing data reuse for multiple AI models across diverse domains. You’ll gain insights into large language model behavior by using tools such as LangChain and LLamaIndex to segment vast datasets intelligently. Practical considerations take precedence, guiding you on effective AI Governance and data security, especially in data-sensitive industries like banking. This enterprise-focused book takes a pragmatic approach, ensuring large language models align with broader enterprise goals. From data gathering to deployment, it emphasizes the use of low code AI workflow tools for efficiency. Addressing the challenges of handling large volumes of data, the book provides insights into constructing robust Big Data pipelines tailored for Generative AI applications. Scaling Enterprise Solutions with Large Language Models will lead you through the Generative AI application lifecycle and provide the practical knowledge to deploy efficient Generative AI solutions for your business. What You Will Learn Examine the various phases of an AI Enterprise Applications implementation. Turn from AI engineer or Data Science to an Intelligent Enterprise Architect. Explore the seamless integration of AI in Big Data Pipelines. Manage pivotal elements surrounding model development, ensuring a comprehensive understanding of the complete application lifecycle. Plan and implement end-to-end large-scale enterprise AI applications with confidence. Who This Book Is For Enterprise Architects, Technical Architects, Project Managers and Senior Developers.
Leveraging Large Language Models For Quantum Aware Cybersecurity
DOWNLOAD
Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2024-12-26
Leveraging Large Language Models For Quantum Aware Cybersecurity written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
As the digital landscape evolves, the growing threat of cyberattacks has prompted the need for more advanced security measures. One of the most promising developments in cybersecurity is the integration of large language models (LLMs) with quantum-aware systems. These AI-powered models, capable of processing data and recognizing complex patterns, play a pivotal role in identifying vulnerabilities, predicting threats, and enhancing the resilience of security infrastructures. In quantum computing, LLMs offer new opportunities to stay ahead of cyber threats by simulating attack strategies and developing adaptive defense mechanisms. By harnessing the power of these tools, cybersecurity professionals can address current challenges while preparing for an era of quantum-enabled cyber threats. Leveraging Large Language Models for Quantum-Aware Cybersecurity explores the convergence of LLMs, cybersecurity, and quantum computing, providing an in-depth analysis of how these fields are being integrated to tackle emerging challenges in the digital security landscape. It covers foundational concepts, cutting-edge research, and practical applications, demonstrating how LLMs can be leveraged alongside quantum technologies to enhance threat detection, automate incident response, and build quantum-resilient security frameworks. This book covers topics such as artificial intelligence, computer engineering, natural language processing, and is a useful resource for computer engineers, security professionals, scientists, academicians, and researchers.
Services Computing Scc 2024
DOWNLOAD
Author : Sheng He
language : en
Publisher: Springer Nature
Release Date : 2024-11-15
Services Computing Scc 2024 written by Sheng He and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
This book constitutes the refereed proceedings of the 21st International Conference on Services Computing – SCC 2024, Held as Part of the Services Conference Federation, SCF 2024, held in Bangkok, Thailand, during November 16-19, 2024. The 7 full papers in this book were carefully reviewed and selected from 13 submissions. They are organized in topical sections as follows: business modeling, business consulting, solution creation, service delivery, and software architecture design, development, and deployment.
Enterprise Design Operations And Computing
DOWNLOAD
Author : José Borbinha
language : en
Publisher: Springer Nature
Release Date : 2025-02-05
Enterprise Design Operations And Computing written by José Borbinha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Business & Economics categories.
This book constitutes the refereed proceedings of the 28th International Conference on Enterprise Design, Operations, and Computing, EDOC 2024, held in Vienna, Austria, during September 10–13, 2024. The 18 full papers included in this book were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: AI, ML and Agents; BPM and WFM; Business Models, Platforms and Strategic Management; Enterprise and IT Architecture; IT and Software Architecture; Modeling Methods, Data and Component; Process Mining and Monitoring; and Sustainability and Resilience.
Ai Driven Wealth Planning Harnessing Machine Learning And Large Language Models For Financial Innovation
DOWNLOAD
Author : Padma Naresh Vardhineedi, Dr. Anshita Shukla
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Ai Driven Wealth Planning Harnessing Machine Learning And Large Language Models For Financial Innovation written by Padma Naresh Vardhineedi, Dr. Anshita Shukla and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Law categories.
PREFACE The financial industry is undergoing a profound transformation driven by artificial intelligence (AI). From automated investment strategies to real-time risk assessment, AI-powered tools are reshaping how wealth is managed, planned, and grown. With the rapid advancements in machine learning and large language models (LLMs), financial professionals have access to sophisticated solutions that enhance decision-making, optimize portfolio performance, and personalize client experiences like never before. This book, AI-Driven Wealth Planning: Harnessing Machine Learning and Large Language Models for Financial Innovation, explores the intersection of AI and wealth management. It delves into how AI is revolutionizing financial planning, risk assessment, tax optimization, estate planning, and client advisory services. By bridging the gap between traditional financial strategies and modern AI-driven approaches, this book serves as a comprehensive guide for wealth managers, financial advisors, fintech innovators, and investors seeking to leverage AI for competitive advantage. We begin with an introduction to the fundamental concepts of machine learning and large language models, offering a clear understanding of how these technologies work and their implications for the financial sector. From there, we explore real-world applications, case studies, and best practices for integrating AI into wealth planning strategies. Ethical considerations, regulatory challenges, and the future of AI in finance are also discussed, providing a balanced perspective on both opportunities and risks. As AI continues to evolve, so too will the landscape of financial planning. The goal of this book is to empower readers with the knowledge and insights needed to navigate this new era of AI-driven wealth management. Whether you are a seasoned financial professional or a technology enthusiast eager to understand the impact of AI on finance. Let’s embark on this journey into the world of AI-powered financial innovation. Authors
Web And Big Data Apweb Waim 2023 International Workshops
DOWNLOAD
Author : Xiangyu Song
language : en
Publisher: Springer Nature
Release Date : 2024-05-08
Web And Big Data Apweb Waim 2023 International Workshops written by Xiangyu Song and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-08 with Computers categories.
This proceedings constitutes selected papers from the Workshops KGMA and SemiBDMA which were held in conjunction with APWeb-WAIM 2023 which took place in Wuhan, China, during October 6-8, 2023. The 7 full papers included in this book were carefully reviewed and selected from 15 papers submitted to these workshops. They focus on new research approaches on the theory, design, and implementation of data management systems.