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Название: Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs (Final)
Автор: Sinan Ozdemir
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 281
Язык: английский
Формат: True/Retail (PDF EPUB)
Размер: 43.2 MB

The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products. Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. InQuick Start Guide to Large Language Models, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, hands-on exercises, and more. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, parameters, and performance. You'll find even more resources on the companion website, including sample datasets and code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and ChatGPT), Google (BERT, T5, and Bard), EleutherAI (GPT-J and GPT-Neo), Cohere (the Command family), and Meta (BART and the LLaMA family). Who is this book for, you ask? Well, my answer is simple: anyone who shares a curiosity about LLMs, the willing coder, the relentless learner. Whether you’re already entrenched in Machine Learning or you’re on the edge, dipping your toes into this vast ocean, this book is your guide, your map to navigate the waters of LLMs. However, I’ll level with you: To get the most out of this journey, having some experience with Machine Learning and Python will be incredibly beneficial.

Название: The LLM Mesh: A Practical Guide to Using Generative AI in the Enterprise (Early Release)
Автор: Kurt Muehmel
Издательство: O’Reilly Media, Inc.
Год: 2024-08-02
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

In the rapidly evolving landscape of Generative AI and particularly large language models (LLMs), organizations are poised to create groundbreaking applications. However, the lack of oversight, governance, and centralization often stymies the deployment of LLM-based applications. For organizations eager to harness the full potential of LLMs, overcoming these hurdles is essential—not only for operational success but also to stay ahead in a competitive market. This tech guide introduces the LLM Mesh, an architecture paradigm that ensures modular development, centralized administration, and auditing of LLM applications. It allows companies not only to keep pace with rapid changes and new market entrants but also to maintain independence from any single provider. Through detailed instructions and expert advice, learn how to abstract applications from LLM services, integrate robust security measures, manage compliance, and optimize costs and performance across various platforms.

Название: Python's Scales and Tales: The Slithering Saga of Magical Coding
Автор: Kiki Holland
Издательство: Independently published
Серия: Hackily Ever Afters
Год: 2024
Страниц: 104
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Python's Scales and Tales is a delightful first installment in the Hackily Ever Afters series, blending whimsical fairy tales, engaging poems, and jokes with essential Python programming concepts. This entertaining and educational book serves as a fun-filled introduction to the world of Python, offering students a unique way to learn and retain information. Each captivating story within Python's Scales and Tales weaves together fairy tale charm with practical Python topics, making complex subjects approachable and memorable. Accompanying poems add an extra layer of creativity to the learning process, while playful jokes ensure students stay engaged and entertained throughout their exploration of Python. Perfect for curious minds eager to embark on a coding adventure, Python's Scales and Tales combines the magic of storytelling with the power of computer science education, providing readers with a one-of-a-kind journey into the enchanting world of Python programming.

Название: Learning TypeScript 5: Go beyond jаvascript to build more maintainable and robust web applications for large-scale projects
Автор: Anna Richter
Издательство: GitforGits
Год: 2024
Страниц: 451
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Programmers familiar with jаvascript who wish to learn more about TypeScript version 5.0 will find this book to be a resource of great value This book is ideal for developers who want to improve their front-end programming skills and integrate TypeScript with popular frameworks such as Angular and React. With clear explanations and hands-on examples, this book makes the transition from jаvascript to TypeScript easy and enjoyable. The book covers fundamental concepts such as static typing, type checking, and type inference, which will help you write more reliable and maintainable code. You'll learn how to use TypeScript's features to improve your development process, reduce bugs, and increase code quality. You'll learn about TypeScript's advanced features, such as interfaces, modules, and type narrowing techniques, through hands-on examples. To help you write more efficient and clean code, this book also covers how to use async/await and Promises to deal with asynchronous operations. "Learning TypeScript 5" offers solutions and troubleshooting techniques for the most common TypeScript challenges that developers face. You'll find out how to make your own error classes for different situations and how to use TypeScript's try/catch blocks to manage errors effectively. Integrating TypeScript with existing jаvascript applications, configuring the TypeScript compiler, and setting up TypeScript projects are all covered in the book. After finishing this book, you will have the knowledge and abilities to create scalable applications with TypeScript and work with frameworks such as Angular and React with ease. This book is ideal for developers who want to improve their front-end programming skills and integrate TypeScript with popular frameworks such as Angular and React. With clear explanations and hands-on examples, this book makes the transition from jаvascript to TypeScript easy and enjoyable.

Название: Driving Value with Sprint Goals: Humble Plans, Exceptional Results (Final)
Автор: Maarten Dalmijn
Издательство: Pearson Education/Addison-Wesley Professional
Год: 2024
Страниц: 256
Язык: английский
Формат: True/Retail (PDF EPUB)
Размер: 31.4 MB

Leverage Sprint Goals to Supercharge Teamwork and Build Winning Products. There are many books on Scrum and how to do Scrum the right way. This isn't one of those books.Driving Value with Sprint Goals will teach you how to deliver exceptional value. To build great products, all teams and participants must align behind clear goals that deliver real value (outcomes)—not just more features (output). Sprint Goals are your most powerful tool for achieving this alignment, but many teams avoid, misuse, or struggle with them. Maarten Dalmijn guides you through defining, creating, and executing on Sprint Goals that deliver outstanding value to customers and the business. This concise guide is packed with strategies and concepts for building high-performing teams that accelerate the delivery of value. As you reconsider critical Scrum and product management processes through the lens of the Sprint Goal, you can transform your entire organization from being low-value "feature factories" to delivering high-value outcomes. Driving Value with Sprint Goals will reshape the way you think about delivering value by offering a fresh and cohesive perspective invaluable to every Product Owner, Product Manager, Scrum Master, Agile Coach, and tech executive.

Название: The Quantum Evolution: Application of AI and Robotics in the Future of Quantum Technology
Автор: Alex Khang, Kali Charan Rath
Издательство: CRC Press
Год: 2025
Страниц: 556
Язык: английский
Формат: pdf (true)
Размер: 17.1 MB

The book offers a comprehensive exploration of the fusion between quantum technology, Artificial Intelligence (AI), and robotics, providing readers with a deep understanding of the interplay between these fields and the transformative potential they hold. The Quantum Evolution: Application of AI and Robotics in the Future of Quantum Technology uncovers the potential of quantum algorithms to tackle complex computational problems exponentially faster than classical counterparts. Readers are introduced to quantum machine learning and its potential to revolutionize AI by enabling more efficient data analysis, pattern recognition, and decision-making. The book explores the potential applications of quantum-inspired neural networks and how they can enhance the capabilities of AI systems, ushering in a new era of intelligent machines. It also delves into the potential risks and challenges associated with quantum technology integration, such as quantum security and privacy concerns. The book showcases numerous real-world applications and examples of how quantum technology, AI, and robotics are being utilized today, giving readers concrete insights into how these advancements are shaping industries, health care, communication, and more. Quantum computing and quantum machine learning represent two of the most cutting-edge and transformative felds in the realm of technology and Artificial Intelligence. As quantum computing continues to advance, it promises to revolutionize the world of computing by harnessing the unique properties of quantum mechanics to perform computations at speeds that were once considered unimaginable. In parallel, quantum machine learning emerges as an interdisciplinary field that combines the principles of quantum physics with the capabilities of Machine Learning, offering the potential to solve complex problems that were previously insurmountable for classical computers. This merging of quantum technology and Artificial Intelligence opens up a realm of possibilities for industries ranging from healthcare and finance to cryptography and optimization.

Название: CompTIA DataX Study Guide: Exam DY0-001
Автор: Fred Nwanganga
Издательство: Sybex
Год: 2024
Страниц: 416
Язык: английский
Формат: epub (true)
Размер: 14.5 MB

Demonstrate your Data Science skills by earning the brand-new CompTIA DataX credential. In CompTIA DataX Study Guide: Exam DY0-001, data scientist and analytics professor, Fred Nwanganga, delivers a practical, hands-on guide to establishing your credentials as a Data Science practitioner and succeeding on the CompTIA DataX certification exam. In this book, you'll explore all the domains covered by the new credential, which include key concepts in mathematics and statistics; techniques for modeling, analysis and evaluating outcomes; foundations of Machine Learning; Data Science operations and processes; and specialized applications of Data Science. This up-to-date Study Guide walks you through the new, advanced-level Data Science certification offered by CompTIA and includes hundreds of practice questions and electronic flashcards that help you to retain and remember the knowledge you need to succeed on the exam and at your next (or current) professional Data Science role. Data Science is an interdisciplinary field that has rapidly evolved to become a cornerstone of modern business, research, and technology. At its core, Data Science integrates principles from statistics, mathematics, Computer Science, and domain-specific knowledge to unlock insights that can drive decision-making and innovation. Statistics and mathematics provide the foundational framework for data analysis, enabling data scientists to summarize data, test hypotheses, and draw inferences. Computer Science, particularly in areas such as algorithms, data structures, database management, and programming, is essential for handling and processing data efficiently. Domain expertise, meanwhile, is crucial for understanding the context of the data and interpreting the results in a meaningful way.

Название: Deep Learning for Video Understanding
Автор: Zuxuan Wu, Yu-Gang Jiang
Издательство: Springer
Год: 2024
Страниц: 194
Язык: английский
Формат: pdf (true), epub
Размер: 42.2 MB

This book presents Deep Learning techniques for video understanding. For Deep Learning basics, the authors cover Machine Learning pipelines and notations, 2D and 3D Convolutional Neural Networks for spatial and temporal feature learning. For action recognition, the authors introduce classical frameworks for image classification, and then elaborate both image-based and clip-based 2D/3D CNN networks for action recognition. For action detection, the authors elaborate sliding windows, proposal-based detection methods, single stage and two stage approaches, spatial and temporal action localization, followed by datasets introduction. For video captioning, the authors present language-based models and how to perform sequence to sequence learning for video captioning. For unsupervised feature learning, the authors discuss the necessity of shifting from supervised learning to unsupervised learning and then introduce how to design better surrogate training tasks to learn video representations. Finally, the book introduces recent self-training pipelines like contrastive learning and masked image/video modeling with transformers. The book provides promising directions, with an aim to promote future research outcomes in the field of video understanding with Deep Learning.

Название: ChatGPT & Co.: A Workbook for Writing, Research, Creating Images, Programming, and More
Автор: Rainer Hattenhauer
Издательство: CRC Press
Год: 2025
Страниц: 344
Язык: английский
Формат: pdf (true)
Размер: 18.5 MB

Would you like to know how you can benefit from generative artificial intelligence (AI)? Then this book will be of great help to you. It shows you how AI can make your life easier, and it will teach you what added value the current application scenarios of ChatGPT, Midjourney and various other AI tools offer and where their limits lie. Whether you want to write text, conduct research, generate images or create your own program code, you can get started right away without any previous knowledge. Bolstered with many practical examples from the most diverse areas of application, this book presents ChatGPT as part of an ever-growing toolkit, and guides you on which tools to utilize and apply. This is a valuable workbook for those looking to harness and incorporate ChatGPT and generative AI into their work, studies or general life. Coders – the modern term for the species of programmers – have been electrified since the release of ChatGPT & Co. In the “good old days,” they still had to use cryptic programming languages such as C, Java or Python; today however, even laypeople are programming in natural language, i.e. prompts, with the help of chatbots. With these, even beginners can quickly get to grips with the principles of modern programming. Professionals appreciate the support of GitHub’s Copilot to solve boring standard tasks directly from the Artificial Intelligence (AI) bot or to get food for thought for new problems. This chapter shows you some of the possibilities of prompt-supported programming. Although it is already possible to execute code directly in ChatGPT using the Data Analysis Tool in ChatGPT with GPT-4o, we will first take the classic approach using a few introductory examples. We let ChatGPT generate code for us, copy it into a corresponding programming environment and test it there. It is therefore helpful to know at least the basics of the programming language used and the programming environment.

Название: Python for Beginners: The Basics of Python and Python Programming For Beginners
Автор: Hybrid Tech
Издательство: Hybrid Tech
Год: 2022
Язык: английский
Формат: epub
Размер: 10.1 MB

Are You Looking for an Easy and Fast Way to Learn Python? Python Crash Course for Beginners is for you! One of the main advantages of learning Python is the possibility of creating a code with great readability, which saves time and resources, which facilitates its understanding and implementation. These factors and others that you will see later, have made Python become one of the most used programming languages. Python has a number of advantageous characteristics that set it apart from other programming languages. It provides dynamic memory allocation, object-oriented programming, and procedural programming. A few critical points are discussed here. Python is a relatively easy to learn programming language in comparison to other programming languages. Its syntax is straightforward and close to the English language. Instead of using the semicolon and curly brackets, the indentation specifies the code block. It is the recommended programming language for beginners. Python is capable of doing complicated things with a few lines of code. It requires only a single line of code to execute, whereas Java or C require multiple lines. Python is an interpreted language, meaning that each line of code in a Python program is executed independently. Because it is an interpreted language, debugging is straightforward and portable. Python is cross-platform, supporting Windows, Linux, UNIX, and Macintosh. As a consequence, we can state unequivocally that Python is a portable programming language. It enables programmers to create software for multiple competing platforms using a single program.