Название: LLMs in Production (MEAP v1) Автор: Christopher Brousseau, Matthew Sharp Издательство: Manning Publications Год: 2023 Страниц: 152 Язык: английский Формат: pdf, epub Размер: 10.1 MB
Learn how to put Large Language Model-based applications into production safely and efficiently. Large Language Models (LLMs) are the foundation of AI tools like ChatGPT, LLAMA and Bard. This practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. LLMs in Production delivers vital insights into delivering MLOps for LLMs. You’ll learn how to operationalize these powerful AI models for chatbots, coding assistants, and more. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice. LLMs in Production is the comprehensive guide to LLMs you’ll need to effectively guide one to production usage. It takes you through the entire lifecycle of an LLM, from initial concept, to creation and fine tuning, all the way to deployment. Learn to properly establish deployment infrastructure and address common challenges like retraining and load testing. Finally, you’ll go hands-on with three exciting example projects: a cloud-based LLM chatbot, a Code Completion VSCode Extension, and deploying LLM to edge devices like Raspberry Pi. By the time you’re done reading, you’ll be ready to start developing LLMs and effectively incorporating them into software. For data scientists and ML engineers, who know Python and the basics of Kubernetes and cloud deployment.
Название: Машинное обучение доступным языком Автор: Елена Капаца Издательство: Автор Год: 2023 Язык: русский Формат: pdf, fb2. epub Размер: 11.2 MB
Краткий гайд для новичков по машинному и глубокому обучению с разбором кода. Здесь вы найдете необходимый минимум по предмету, истолкованный языком, понятным школьнику. Некоторые разделы написаны с помощью chatGPT. По прочтении вы избавитесь от страха перед технологией и освоите базовый инструментарий подготовки данных, их загрузке в модель и ее донастройки. Подходит студентам технических специальностей. Приступая к изучению машинного обучения, студенты легко и непринужденно добиваются… запутанности. Пара-тройка непонятных терминов или неясностей при расчете – и все: мозг теряет нить и начинает воспринимать “по диагонали”. Продираться через непонятное довольно трудоёмко. Не каждый день у нас есть ресурс догугливать непонятное. Не каждый запрос в Google даст лаконичный понятный ответ. Моя задача – описать детали этой мозаики языком, понятным старшекласснику. Я намеренно буду избегать формул, потому что знаю: каждая из них сокращает число читателей. Однако в книге будет код, и он будет расширенно комментироваться. Минимальное требование к читателю – знание основ Python. Книга фокусируется на машинном обучении, и потому останавливаться на терминах вроде “переменной” и “списка” я не буду.
Название: Quantum Computing: Circuits, Systems, Automation and Applications Автор: Himanshu Thapliyal, Travis Humble Издательство: Springer Год: 2024 Страниц: 183 Язык: английский Формат: pdf (true), epub Размер: 19.6 MB
This book provides readers with the current state-of-the-art research and technology on quantum computing. The authors provide design paradigms of quantum computing. Topics covered include multi-programming mechanisms on near-term quantum computing, Lagrange interpolation approach for the general parameter-shift rule, architecture-aware decomposition of quantum circuits, software for massively parallel quantum computing, Machine Learning in quantum annealing processors, quantum annealing for real-world machine learning applications, queuing theory models for (Fault-Tolerant) quantum circuits, machine learning for quantum circuit reliability assessment, and side-channel leakage in Suzuki stack circuits. Quantum computing is an elegant fusion between computer science and principles of quantum physics to facilitate calculations. It promises an excellent computational capacity that is intractable for classical computers to solve challenging problems, including materials science, information science, computer science, mathematical science, and others. The QB SDK is designed for ease of integration into a range of performance-critical environments: HPC, cloud, GPU workstations and even embedded/edge systems. The SDK’s high-performance core and bundled simulators are implemented in C++. It provides hybrid and pure-quantum programming interfaces in both C++ and Python, with an extensive language binding module for Python included.
Название: Ian Talks Python A-Z Автор: Ian Eress Издательство: Independently published Год: 2023 Страниц: 397 Язык: английский Формат: pdf, azw3, epub (true), mobi Размер: 10.2 MB
Unlock the mysteries of Python programming with this guide to the key concepts and definitions. From famous programmers and libraries to data science and web development, this book provides a clear and accessible reference to the field of Python programming. Written for beginners, it is the perfect resource for anyone looking to deepen their understanding of this rapidly evolving field. With clear explanations, this book is your go-to reference for all things Python.
Название: Building Serverless Applications on Knative: A Guide to Designing and Writing Serverless Cloud Applications Автор: Evan Anderson Издательство: O’Reilly Media, Inc. Год: 2024 Страниц: 343 Язык: английский Формат: pdf, epub (true) Размер: 10.1 MB
Explore the theory and practice of designing and writing serverless applications using examples from the Knative project. With this practical guide, mid-level to senior application developers and team managers will learn when and why to target serverless platforms when developing microservices or applications. Along the way, you'll also discover warning signs that suggest cases when serverless might cause you more trouble than joy. Drawing on author Evan Anderson's 15 years of experience developing and maintaining applications in the cloud, and more than 6 years of experience with serverless platforms at scale, this book acts as your guide into the high-velocity world of serverless application development. You'll come to appreciate why Knative is the most widely adopted open source serverless platform available. The primary audience for this book is software engineers and technologists who are either unfamiliar with serverless or are looking to deepen their understanding of the principles and best practices associated with serverless architecture.
Название: Soft Computing Techniques in Connected Healthcare Systems Автор: Moolchand Sharma, Suman Deswal, Umesh Gupta Издательство: CRC Press Год: 2024 Страниц: 313 Язык: английский Формат: pdf (true) Размер: 24.9 MB
This book provides an examination of applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles of various techniques. Soft Computing Techniques in Connected Healthcare Systems presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. The authors examine how connected healthcare is the essence of combining a practical operative procedure of interconnectedness of electronic health records, mHealth, clinical informatics, electronic data exchange, practice management solutions, and pharmacy management. The book focuses on different soft computing techniques, such as artificial neural networks (ANNs), fuzzy logic, genetic algorithms (GAs), Machine Learning (ML), and Natural Language Processing (NLP), which will enhance services in connected health systems, such as remote diagnosis and monitoring, medication monitoring devices, identifying and treating the underlying causes of disorders and diseases, improved access to specialists, and lower healthcare costs. The chapters also examine descriptive, predictive, and social network techniques and discuss analytical tools and the important role they play in enhancing the services to connected healthcare systems. Finally, the authors address real-time challenges with real-world case studies to enhance the comprehension of topics. This book is intended for under graduate and graduate students, researchers, and practicing professionals in the field of connected healthcare. It provides an overview for beginners while also addressing professionals in the industry on the importance of soft computing approaches in connected healthcare systems.
Название: Transformer, BERT, and GPT3 : Including ChatGPT and Prompt Engineering Автор: Oswald Campesato Издательство: Mercury Learning and Information Год: 2024 Страниц: 379 Язык: английский Формат: pdf (true) Размер: 25.3 MB
This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the intricacies of the Transformer architecture, a two-part exploration of the BERT family, and hands-on guidance on working with GPT-3. The concluding chapters present an overview of ChatGPT, GPT-4, and visualization using generative AI. In addition to the primary topics, the book also covers influential AI organizations such as DeepMind, OpenAI, Cohere, Hugging Face, and more. Readers will gain a comprehensive understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Features companion files with numerous code samples and figures from the book. Although this book is introductory in nature, some knowledge of Python 3.x with certainly be helpful for the code samples. Knowledge of other programming languages (such as Java) can also be helpful because of the exposure to programming concepts and constructs. This book is intended primarily for people who have a basic knowledge of Machine Learning or software developers who are interested in working with LLMs.
Название: Data Literacy With Python Автор: Oswald Campesato Издательство: Mercury Learning and Information Год: 2024 Страниц: 271 Язык: английский Формат: pdf (true) Размер: 14.6 MB
The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With Python 3 as the primary medium, the book underscores the pivotal role of data in modernindustries, and how its adept management can lead to insightful decision-making. The book provides a quick introduction to foundational data-related tasks, priming the readers for more advanced concepts of model training introduced later on. Through detailed, step-by-step Python code examples, the reader will master training models, beginning with the kNN algorithm, and then smoothly transitioning to other classifiers, by tweaking mere lines of code. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced, offering readers a hands-on experience in rendering charts and graphs. Companion files with source code and data sets are available by writing to the publisher.
Название: Modern C Programming: Including Standards C99, C11, C17, C23 Автор: Orhan Gazi Издательство: Springer Год: 2023 ISBN: 978-3-031-45361-8 Страниц: 395 Формат: PDF Размер: 22 Mб Язык: English
This book provides comprehensive detail about modern C programming, including the standards C99, C11, C17, C23, reflecting recent updates. The book features a number of targeted examples, atomic data types, and threads. After covering the standards of C, the author explains data types, operators, loops, conditional statements, functions, pointers, and more. The book is intended primarily for electrical and hardware engineers looking to use or update their knowledge of modern C programming.
Название: Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions Автор: Prashant Pranav, Archana Patel, Sarika Jain Издательство: CRC Press Год: 2024 Страниц: 225 Язык: английский Формат: pdf (true) Размер: 17.2 MB
This book brings together a blend of different areas of Machine Learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms. Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions. This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, Computer Science, cyber-security, information technology, and applied mathematics.
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