Название: Build an LLM Application (from Scratch) (MEAP v2)
Автор: Hamza Farooq
Издательство: Manning Publications
Год: 2025
Страниц: 161
Язык: английский
Формат: pdf, epub
Размер: 13.1 MB

Create your own LLM applications without using a framework like LlamaIndex or LangChain. In Build an LLM Application (from Scratch), you'll learn to create applications powered by large language models (LLM) from the ground up. In this practical book, you'll build several fully functioning, real-world AI tools—including a search engine, semantic caching for RAG, and autonomous AI agents. Build an LLM Application (from Scratch) shows you just how customizable LLM applications can be when you create your own without using opinionated tools like LangChain and LlamaIndex. You'll learn the fundamentals of AI development hands-on, all without any proprietary tools. Soon you'll have the skills you need to build LLM applications, tailor them to your specific needs, and ensure you have control over your entire system. Build an LLM Application (from Scratch) is a practical and comprehensive handbook for creating custom LLM applications without relying on premade frameworks. You'll start by mastering the fundamentals of search systems and RAG. For software engineers and data scientists confident with Python and NLP basics.

Название: Topology Optimization Via L-systems and Genetic Algorithms: Bioinspired Encoding for Generative Design
Автор: Brent R. Bielefeldt, Darren J. Hartl, Marcelo H. Kobayashi
Издательство: Cambridge University Press
Год: 2025
Страниц: 303
Язык: английский
Формат: pdf
Размер: 11.3 MB

Providing a succinct overview of Lindenmayer system (L-system) topology optimization, this book focuses on the methods and theory underlying this novel bioinspired approach. Starting from basic principles, the book outlines how topology optimization can be utilized at the conceptual design stage and shows how it offers straightforward applicability to multi-objective and/or multi-physical industrial problems. Design strategies are clearly demonstrated using a host of case studies and real-world examples, and their potential challenges and solutions are discussed. Written from an optimization and design perspective, the authors both summarize the latest advances in this field and suggest potential avenues of research and development for future work. This will be the ideal resource for engineering practitioners, researchers, and students wanting to gain a new perspective on using topology optimization to improve product design. Evolutionary algorithms in general are applied to a wide range of application areas from engineering, to art, to biology, to physics, and others. In the field of structural topology optimization, these algorithms have been used to improve the exploration of complex search spaces.

Название: AI Engineering in Practice (MEAP v2)
Автор: Richard Davies
Издательство: Manning Publications
Год: 2025
Страниц: 126
Язык: английский
Формат: pdf (true)
Размер: 21.1 MB

Write, refine, organize, and optimize AI prompts that generate relevant and useful text and images! Generative AI models such as ChatGPT, Stable Diffusion, and Gemini can produce amazingly “human-like” news articles, document summaries, images, computer code, and more—if you know how to write effective prompts. This book will teach you the prompt design and authoring skills you need to get useful and relevant responses from AI models, along with advanced prompting techniques for Retrieval Augmented Generation (RAG), building autonomous agents, and data privacy. Prompt engineering is the discipline of writing instructions for AI models to generate relevant, accurate, and usable completions. AI Engineering in Practice shows you how to engineer prompts that ensure the outputs of LLMs and other generative AI models exactly match your requirements. You’ll learn how to structure your objectives, take advantage of contextual details, and even pick the right model for your task. No special skills with AI or Machine Learning required. Code examples are in Python.

Название: AI Applications Made Easy: RAG, agents, and other GenAI solutions (MEAP v2)
Автор: Andrea De Mauro
Издательство: Manning Publications
Год: 2025
Страниц: 83
Язык: английский
Формат: pdf (true)
Размер: 33.1 MB

A fully illustrated guide to building generative AI apps! In AI Applications Made Easy you’ll learn how to create your own AI applications from scratch using free low-code tools like Langflow and KNIME. This fully-illustrated book guides you step by step on your journey from AI user to AI maker. Generative AI applications can be complex to understand and create. This book strips away the low level geekery and shows you exactly how to build Q&A systems, agents, and other powerful AI applications using low code tools. Along the way, you’ll gain an intuition for how generative AI works, including core components like large language models, retrieval augmented generation, model context protocol, and more. AI Applications Made Easy is written for everyone. Use prompt engineering to create a healthy recipe generator, use RAG to build automated customer support chatbots, craft marketing assistants that know brand guidelines, and even design a web-enabled financial researcher—all using free low-code tools like Langflow and KNIME. For readers of all levels who want to create AI applications.

Название: Enterprise RAG: Scaling Retrieval Augmented Generation (MEAP v2)
Автор: Tyler Suard, Darshil Modi
Издательство: Manning Publications
Год: 2025
Страниц: 183
Язык: английский
Формат: pdf, epub
Размер: 12.1 MB

Securely blend advanced LLM with your own databases, documentation, and code repos using these techniques for enterprise-quality retrieval augmented generation. Retrieval Augmented Generation, or RAG, is the gold standard for using domain-specific data, such as internal documentation or company databases, with large language models (LLMs). Creating trustworthy, stable RAG solutions you can deploy, scale, and maintain at the enterprise level means establishing data workflows that maximize accuracy and efficiency, addressing cost and performance problems, and building in appropriate checks for privacy and security. This book shows you how. Enterprise RAG goes beyond the theory and proof-of-concept examples you find in most books and online discussions, digging into the real issues you encounter deploying and scaling RAG in production. For software developers proficient in Python.

Название: Go in Action, Second Edition (MEAP v5)
Автор: Joel Holmes, Andrew Walker, William Kennedy
Издательство: Manning Publications
Год: 2025
Страниц: 244
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Master Go language fundamentals, learn how to structure Go projects effectively, and deliver high-performance code using Go’s powerful concurrency model. Go in Action, Second Edition has been fully updated to cover all the new features and idioms of the latest version of Go. In it, you’ll dive into Go's unique features and quickly get started writing real-world applications, such as websites and network servers. Designed by Google with productivity in mind, Go excels in modern, highly-dynamic environments. This modern language has all its concurrency primitives baked in, so Go users can handle problems like real-time performance with no additional tools required. Its simple-but-powerful type system includes generics and interfaces as first-class citizens. Best of all, because Go was designed to be simple, with a small number of keywords and an efficient standard library, it’s really easy to learn! In a cloud-first world, it’s easy to see why Go has quickly become a must-have skill. For programmers proficient in at least one OO programming language.

Название: Quantum Programming in Depth: Solving problems with Q# and Qiskit (Final Release)
Автор: Mariia Mykhailova
Издательство: Manning Publications
Год: 2025
Страниц: 290
Язык: английский
Формат: pdf (true)
Размер: 22.3 MB

Go beyond the basics with this in-depth guide to quantum programming. Here’s something you already know: quantum computing is a deep subject. Quantum Programming in Depth takes you beyond quantum basics and shows you how to take on practical quantum problem solving and programming using Q# and Qiskit. Author Mariia Mykhailova, a principal quantum applications software developer at PsiQuantum, guides you every step of the way. Quantum Programming in Depth shows you how to do quantum computing outside the lab or classroom, presenting problems of quantum programming and demonstrating how they’re solved. You’ll learn to write quantum programs using Qiskit and Q#—and even how to test your quantum code using common testing tools like pytest. You’ll learn to prepare quantum states and implement operations, extract information from quantum states and operations, evaluate classical functions on a quantum computer, solve search problems, and more. For students and software engineers who know Python and the basic concepts of quantum computing.

Название: Migrating ASP.NET Microservices to ASP.NET Core 8, Second Edition
Автор: Iris Classon
Издательство: Apress
Год: 2024
Страниц: 220
Язык: английский
Формат: pdf (true), epub (true)
Размер: 13.9 MB

In this second edition, you will be guided through the journey of migrating an ASP.NET Framework application to ASP.NET Core microservices. You will know how to master the following steps: Conduct an inventory, prepare the application, plan the migration, execute the migration, improve the deployment pipeline. For the detailed hands-on migration, the book uses a streamlined business application, derived from a real-world application that underwent the migration process a few years ago. In this second edition, the application has evolved to include more features relevant to the latest advancements in ASP.NET Core, such as minimal web APIs, Razor Pages, REST documentation, and enhanced authentication. The book also delves into the nuances of upgrading between ASP.NET Core versions, managing breaking changes, and incorporating significant new features. Software developers, IT professionals, and system architects who are looking to transition their applications to ASP.NET Core; serves as a fundamental resource for those keen on modernizing their development practices and staying current with ASP.NET Core.

Название: Generative AI: Disruptive Technologies for Innovative Applications
Автор: N. Gayathri, S. Rakesh Kumar, Ramesh Chandran, Pethuru Raj Chelliah, Danilo Pelusi
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 288
Язык: английский
Формат: epub (true)
Размер: 17.2 MB

This book is essential for anyone eager to understand the groundbreaking advancements in Generative AI and its transformative effects across industries, making it a valuable resource for both professional growth and creative inspiration. Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving world of Generative Artificial Intelligence and its profound impact on various industries and domains. This comprehensive volume brings together leading experts and researchers to explore the cutting-edge advancements, applications, and implications of Generative AI technologies. This volume provides an in-depth exploration of Generative AI, which encompasses a range of techniques such as generative adversarial networks, recurrent neural networks, and transformer models like GPT-3. Audience: AI researchers, industry professionals, data scientists, Machine Learning experts, students, policymakers, and entrepreneurs interested in the innovative field of Generative AI.

Название: Artificial Intelligence in Action: Real-World Applications and Innovations
Автор: Ahmed Banafa
Издательство: River Publishers
Серия: River Publishers Series in Computing and Information Science and Technology
Год: 2025
Страниц: 362
Язык: английский
Формат: pdf (true), epub (true)
Размер: 22.7 MB. 19.7 MB

This comprehensive book dives deep into the current landscape of AI, exploring its fundamental principles, development challenges, potential risks, and the cutting-edge breakthroughs that are propelling it forward. Artificial Intelligence (AI) is rapidly transforming industries and societies worldwide through groundbreaking innovations and real-world applications. Starting with the core concepts, the book examines the various types of AI systems, generative AI models, and the complexities of Machine Learning. It delves into the programming languages driving AI development, data pipelines, model creation and deployment processes, while shedding light on issues like AI hallucinations and the intricate path of machine unlearning. The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change. Python is undoubtedly the most popular language for AI development, known for its simplicity and readability. Its extensive libraries and frameworks, such as NumPy, Pandas, and Scikit-learn, make it a preferred choice.