Enhancing Llm Performance

DOWNLOAD

Download Enhancing Llm Performance PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Enhancing Llm Performance 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

Enhancing Llm Performance

DOWNLOAD
Author : Peyman Passban
language : en
Publisher: Springer Nature
Release Date : 2025-07-04

Enhancing Llm Performance written by Peyman Passban and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Mathematics categories.

This book is a pioneering exploration of the state-of-the-art techniques that drive large language models (LLMs) toward greater efficiency and scalability. Edited by three distinguished experts—Peyman Passban, Mehdi Rezagholizadeh, and Andy Way—this book presents practical solutions to the growing challenges of training and deploying these massive models. With their combined experience across academia, research, and industry, the authors provide insights into the tools and strategies required to improve LLM performance while reducing computational demands. This book is more than just a technical guide; it bridges the gap between research and real-world applications. Each chapter presents cutting-edge advancements in inference optimization, model architecture, and fine-tuning techniques, all designed to enhance the usability of LLMs in diverse sectors. Readers will find extensive discussions on the practical aspects of implementing and deploying LLMs in real-world scenarios. The book serves as a comprehensive resource for researchers and industry professionals, offering a balanced blend of in-depth technical insights and practical, hands-on guidance. It is a go-to reference book for students, researchers in computer science and relevant sub-branches, including machine learning, computational linguistics, and more.

Artificial Intelligence Of Everything And Sustainable Development

DOWNLOAD
Author : Hamed Nozari
language : en
Publisher: Springer Nature
Release Date : 2025-07-14

Artificial Intelligence Of Everything And Sustainable Development written by Hamed Nozari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Computers categories.

This book explores the intersection between transformative technologies and sustainable development. In today's world, characterized by diminishing energy sources, declining youth populations, and rapid technological advancements, the need for sustainable practices has never been more pressing. Technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and hybrid technologies have not only revolutionized daily life but also presented new challenges and opportunities. The book presents the concept of "artificial intelligence of everything," highlighting the role of these technologies in driving sustainable, green, and futuristic development. It offers conceptual and quantitative frameworks to enhance understanding and presents insight into their application. Emphasizing the importance of looking beyond the present moment, the book advocates for a future-focused approach to technology, one that prioritizes sustainability in all endeavors. As the world navigates the complexities of the modern era, this book serves as a practical and essential guide. It is designed to help readers navigate the challenges of today's world and embrace sustainable practices that will shape a better future for all.

Mastering Nlp From Foundations To Llms

DOWNLOAD
Author : Lior Gazit
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-26

Mastering Nlp From Foundations To Llms written by Lior Gazit 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 2024-04-26 with Computers categories.

Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key Features Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT Master embedding techniques and machine learning principles for real-world applications Understand the mathematical foundations of NLP and deep learning designs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDo you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.What you will learn Master the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in Python Model and classify text using traditional machine learning and deep learning methods Understand the theory and design of LLMs and their implementation for various applications in AI Explore NLP insights, trends, and expert opinions on its future direction and potential Who this book is for This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.

Computer Vision Eccv 2024 Workshops

DOWNLOAD
Author : Alessio Del Bue
language : en
Publisher: Springer Nature
Release Date : 2025-05-20

Computer Vision Eccv 2024 Workshops written by Alessio Del Bue 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.

The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29–October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.

Proceedings Of The International Conference On Computational Innovations And Emerging Trends Icciet 2024

DOWNLOAD
Author : K. Reddy Madhavi
language : en
Publisher: Springer Nature
Release Date : 2024-07-30

Proceedings Of The International Conference On Computational Innovations And Emerging Trends Icciet 2024 written by K. Reddy Madhavi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.

This is an open access book. International Conference on Computational Innovations and Emerging Trends ICCIET- 2K24 ICCIET’24 has emerged as an enduring techno-platform to connect education experts and passionate educators all over the world for improving the potential for excellence in engineering education. It provides a premier interdisciplinary forum for researchers, engineers, academicians to present and discuss the most recent trends, innovations, concerns, practical challenges encountered, solutions adopted in the field of Computational Intelligence with its allied areas. The conference also aims to provide a platform for scientists, scholars, students from universities all around the world and the industry to present ongoing research activities and hence to foster research relations between the universities and the industry. Scope of the Conference The conference focuses on mutually sharing the advances and innovative technologies for the scientists, scholars, engineers and students from different universities and industry practitioners, to present ongoing research activities in the recent trends of Computer Science and Engineering This conference addresses the relevant topics and research issues in the vicinity of Computational Intelligence and hence to foster collaborations among stakeholders and researchers from distinct universities, national laboratories, government funding bodies and the industry.

Decoding Large Language Models

DOWNLOAD
Author : Irena Cronin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-31

Decoding Large Language Models written by Irena Cronin 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 2024-10-31 with Computers categories.

Explore the architecture, development, and deployment strategies of large language models to unlock their full potential Key Features Gain in-depth insight into LLMs, from architecture through to deployment Learn through practical insights into real-world case studies and optimization techniques Get a detailed overview of the AI landscape to tackle a wide variety of AI and NLP challenges Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionEver wondered how large language models (LLMs) work and how they're shaping the future of artificial intelligence? Written by a renowned author and AI, AR, and data expert, Decoding Large Language Models is a combination of deep technical insights and practical use cases that not only demystifies complex AI concepts, but also guides you through the implementation and optimization of LLMs for real-world applications. You’ll learn about the structure of LLMs, how they're developed, and how to utilize them in various ways. The chapters will help you explore strategies for improving these models and testing them to ensure effective deployment. Packed with real-life examples, this book covers ethical considerations, offering a balanced perspective on their societal impact. You’ll be able to leverage and fine-tune LLMs for optimal performance with the help of detailed explanations. You’ll also master techniques for training, deploying, and scaling models to be able to overcome complex data challenges with confidence and precision. This book will prepare you for future challenges in the ever-evolving fields of AI and NLP. By the end of this book, you’ll have gained a solid understanding of the architecture, development, applications, and ethical use of LLMs and be up to date with emerging trends, such as GPT-5.What you will learn Explore the architecture and components of contemporary LLMs Examine how LLMs reach decisions and navigate their decision-making process Implement and oversee LLMs effectively within your organization Master dataset preparation and the training process for LLMs Hone your skills in fine-tuning LLMs for targeted NLP tasks Formulate strategies for the thorough testing and evaluation of LLMs Discover the challenges associated with deploying LLMs in production environments Develop effective strategies for integrating LLMs into existing systems Who this book is for If you’re a technical leader working in NLP, an AI researcher, or a software developer interested in building AI-powered applications, this book is for you. To get the most out of this book, you should have a foundational understanding of machine learning principles; proficiency in a programming language such as Python; knowledge of algebra and statistics; and familiarity with natural language processing basics.

Ai Powered Productivity

DOWNLOAD
Author : Dr. Asma Asfour
language : en
Publisher: Asma Asfour
Release Date : 2024-07-29

Ai Powered Productivity written by Dr. Asma Asfour and has been published by Asma Asfour this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-29 with Computers categories.

This book, "AI-Powered Productivity," aims to provide a guide to understanding, utilizing AI and generative tools in various professional settings. The primary purpose of this book is to offer readers a deep dive into the concepts, tools, and practices that define the current AI landscape. From foundational principles to advanced applications, this book is structured to cater to both beginners and professionals looking to enhance their knowledge and skills in AI. This book is divided into nine chapters, each focusing on a specific aspect of AI and its practical applications: Chapter 1 introduces the basic concepts of AI, its impact on various sectors, and key factors driving its rapid advancement, along with an overview of generative AI tools. Chapter 2 delves into large language models like ChatGPT, Google Gemini, Claude, Microsoft's Turing NLG, and Facebook's BlenderBot, exploring their integration with multimodal technologies and their effects on professional productivity. Chapter 3 offers a practical guide to mastering LLM prompting and customization, including tutorials on crafting effective prompts and advanced techniques, as well as real-world examples of AI applications. Chapter 4 examines how AI can enhance individual productivity, focusing on professional and personal benefits, ethical use, and future trends. Chapter 5 addresses data-driven decision- making, covering data analysis techniques, AI in trend identification, consumer behavior analysis, strategic planning, and product development. Chapter 6 discusses strategic and ethical considerations of AI, including AI feasibility, tool selection, multimodal workflows, and best practices for ethical AI development and deployment. Chapter 7 highlights the role of AI in transforming training and professional development, covering structured training programs, continuous learning initiatives, and fostering a culture of innovation and experimentation. Chapter 8 provides a guide to successfully implementing AI in organizations, discussing team composition, collaborative approaches, iterative development processes, and strategic alignment for AI initiatives. Finally, Chapter 9 looks ahead to the future of work, preparing readers for the AI revolution by addressing training and education, career paths, common fears, and future trends in the workforce. The primary audience for the book is professionals seeking to enhance productivity and organizations or businesses. For professionals, the book targets individuals from various industries, reflecting its aim to reach a broad audience across different professional fields. It is designed for employees at all levels, offering valuable insights to both newcomers to AI and seasoned professionals. Covering a range of topics from foundational concepts to advanced applications, the book is particularly relevant for those interested in improving efficiency, with a strong emphasis on practical applications and productivity tools to optimize work processes. For organizations and businesses, the book serves as a valuable resource for decision-makers and managers, especially with chapters on data-driven decision-making, strategic considerations, and AI implementation. HR and training professionals will find the focus on AI in training and development beneficial for talent management, while IT and technology teams will appreciate the information on AI tools and concepts.

Large Language Models For Medical Applications

DOWNLOAD
Author : Ariel Soares Teles
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-17

Large Language Models For Medical Applications written by Ariel Soares Teles and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Medical categories.

Large Language Models (LLMs) have revolutionized various domains with their capabilities to understand, generate, and process human language at scale. In the realm of healthcare, LLMs hold immense potential to transform how medical information is analyzed, communicated, and utilized. This Research Topic delves into the applications, challenges, and future prospects of employing LLMs in medical settings. The adoption of LLMs in medical settings holds the promise of enhancing clinical workflows, improving patient outcomes, and facilitating more informed decision-making processes. These models, built upon vast corpora of medical literature, patient records, and clinical guidelines, possess the capacity to sift through and distil complex information, providing health professionals with timely insights and recommendations tailored to individual patient needs.

Innovations In Computational Intelligence And Computer Vision

DOWNLOAD
Author : Satyabrata Roy
language : en
Publisher: Springer Nature
Release Date : 2024-12-06

Innovations In Computational Intelligence And Computer Vision written by Satyabrata Roy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.

This volume comprises of research papers presented at the 4th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) organized by Department of Computer and Communication Engineering, Manipal University Jaipur, India during April 4 – 5, 2024. The book includes a collection of innovative ideas from researchers, scientists, academics, industry professionals and students. The book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices.

Design And Validation Of Research Tools And Methodologies

DOWNLOAD
Author : Rahal, Aicha
language : en
Publisher: IGI Global
Release Date : 2024-09-24

Design And Validation Of Research Tools And Methodologies written by Rahal, Aicha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-24 with Reference categories.

In academia, the quality of research is intricately linked to the methods and tools used in the research process. Linguistics, a field at the forefront of deciphering the intricacies of language, faces a critical challenge in ensuring the robustness and reliability of its research. Without proper attention to the design and validation of research tools, the foundations of linguistic knowledge are at risk of becoming shaky, undermining the very essence of scientific inquiry. Design and Validation of Research Tools and Methodologies is a beacon of hope in the field of linguistic scholarship, enabling a comprehensive solution to the critical issue of research tool design and validation. It presents an extensive exploration of current and groundbreaking methodologies in linguistics, equipping researchers with the knowledge and tools they need to conduct rigorous and dependable research. This book is devoted to the needs of scholars, academics, and practitioners, which brings together diverse perspectives, case studies, and innovative methods. It opens a vibrant dialogue in the linguistic community and paves the way for future advancements in the field.