Видавець: 16
Valentina Alto
Duże modele językowe (LLM) stały się technologicznym przełomem. Ich wszechstronność i funkcjonalność sprawiły, że coraz częściej mówi się o nowej erze inteligentnie działających urządzeń i aplikacji. Umiejętność zastosowania LLM we własnych projektach już dziś jest koniecznością dla wielu projektantów i programistów. Dzięki tej książce opanujesz podstawowe koncepcje związane z użyciem LLM. Poznasz unikatowe cechy i mocne strony kilku najważniejszych modeli (w tym GPT, Gemini, Falcon). Następnie dowiesz się, w jaki sposób LangChain, lekki framework Pythona, pozwala na projektowanie inteligentnych agentów do przetwarzania danych o nieuporządkowanej strukturze. Znajdziesz tu również informacje dotyczące dużych modeli podstawowych, które wykraczają poza obsługę języka i potrafią wykonywać różne zadania związane na przykład z grafiką i dźwiękiem. Na koniec zgłębisz zagadnienia dotyczące ryzyka związanego z LLM, a także poznasz techniki uniemożliwiania tym modelom potencjalnie szkodliwych działań w aplikacji. Najciekawsze zagadnienia: architektura dużych modeli językowych unikatowe funkcje LLM komponenty służące do koordynacji sztucznej inteligencji, w tym tworzenia frontendu użycie wiedzy nieparametrycznej i wektorowych baz danych dostrajanie dużych modeli językowych do własnych potrzeb odpowiedzialność i etyka w systemach korzystających z LLM Odkryj, jak łatwo model generatywnej AI zintegruje się z Twoją aplikacją! O książce w mediach: Eksperyment Myślowy - recenzja książki
Ahmed Menshawy, Mahmoud Fahmy
The integration of large language models (LLMs) into enterprise applications is transforming how businesses use AI to drive smarter decisions and efficient operations. LLMs in Enterprise is your practical guide to bringing these capabilities into real-world business contexts. It demystifies the complexities of LLM deployment and provides a structured approach for enhancing decision-making and operational efficiency with AI.Starting with an introduction to the foundational concepts, the book swiftly moves on to hands-on applications focusing on real-world challenges and solutions. You’ll master data strategies and explore design patterns that streamline the optimization and deployment of LLMs in enterprise environments. From fine-tuning techniques to advanced inferencing patterns, the book equips you with a toolkit for solving complex challenges and driving AI-led innovation in business processes.By the end of this book, you’ll have a solid grasp of key LLM design patterns and how to apply them to enhance the performance and scalability of your generative AI solutions.
LLVM Code Generation. A deep dive into compiler backend development
Quentin Colombet, Kristof Beyls
The LLVM infrastructure is a popular compiler ecosystem widely used in the tech industry and academia. This technology is crucial for both experienced and aspiring compiler developers looking to make an impact in the field. Written by Quentin Colombet, a veteran LLVM contributor and architect of the GlobalISel framework, this book provides a primer on the main aspects of LLVM, with an emphasis on its backend infrastructure; that is, everything needed to transform the intermediate representation (IR) produced by frontends like Clang into assembly code and object files.You’ll learn how to write an optimizing code generator for a toy backend in LLVM. The chapters will guide you step by step through building this backend while exploring key concepts, such as the ABI, cost model, and register allocation. You’ll also find out how to express these concepts using LLVM's existing infrastructure and how established backends address these challenges. Furthermore, the book features code snippets that demonstrate the actual APIs.By the end of this book, you’ll have gained a deeper understanding of LLVM. The concepts presented are expected to remain stable across different LLVM versions, making this book a reliable quick reference guide for understanding LLVM.
Mayur Pandey, Suyog Sarda, David Farago
LLVM is currently the point of interest for many firms, and has a very active open source community. It provides us with a compiler infrastructure that can be used to write a compiler for a language. It provides us with a set of reusable libraries that can be used to optimize code, and a target-independent code generator to generate code for different backends. It also provides us with a lot of other utility tools that can be easily integrated into compiler projects.This book details how you can use the LLVM compiler infrastructure libraries effectively, and will enable you to design your own custom compiler with LLVM in a snap.We start with the basics, where you’ll get to know all about LLVM. We then cover how you can use LLVM library calls to emit intermediate representation (IR) of simple and complex high-level language paradigms. Moving on, we show you how to implement optimizations at different levels, write an optimization pass, generate code that is independent of a target, and then map the code generated to a backend. The book also walks you through CLANG, IR to IR transformations, advanced IR block transformations, and target machines. By the end of this book, you’ll be able to easily utilize the LLVM libraries in your own projects.
Min-Yih Hsu
Every programmer or engineer, at some point in their career, works with compilers to optimize their applications. Compilers convert a high-level programming language into low-level machine-executable code. LLVM provides the infrastructure, reusable libraries, and tools needed for developers to build their own compilers. With LLVM’s extensive set of tooling, you can effectively generate code for different backends as well as optimize them.In this book, you’ll explore the LLVM compiler infrastructure and understand how to use it to solve different problems. You’ll start by looking at the structure and design philosophy of important components of LLVM and gradually move on to using Clang libraries to build tools that help you analyze high-level source code. As you advance, the book will show you how to process LLVM IR – a powerful way to transform and optimize the source program for various purposes. Equipped with this knowledge, you’ll be able to leverage LLVM and Clang to create a wide range of useful programming language tools, including compilers, interpreters, IDEs, and source code analyzers.By the end of this LLVM book, you’ll have developed the skills to create powerful tools using the LLVM framework to overcome different real-world challenges.
LMMS: A Complete Guide to Dance Music Production
David Earl
You've scoured the forums, watched the tutorial videos, and done everything you can to learn the secrets of the art of making dance music. Everyone is saying something different about how to get into producing your own projects. This book will help connect the dots and lay a solid foundation of knowledge so you can get beats banging out of LMMS.This book will show you the ins and outs of making Dance music with LMMS. Do you make house, trance, techno or down-tempo? After this book you'll be able to make a song that stands out from the masses, using time honoured tricks of the trade. From inception to conception, this book will help give you a workflow to channel your muse using LMMS.Readers will be given a brief lesson on the best of dance music history, then learn how to recreate it using the Open Source digital workstation - LMMS. The reader will be guided through creating a project from start to finish. By the end of this book, the reader will know how to create a full dance track in LMMS and make it ready for distribution.Along the way, readers will take short stops into music theory, song arranging, recording, and other related information to give them a good foundation for making dance music with depth as well as power. Reading LMMS: A Complete Guide to Dance Music Production will not just teach the reader how to use LMMS, but also how good dance music is crafted. The reader will not just be taught how to make decisions in LMMS, but when and why. After devouring this book, the reader should be able to focus on his or her creativity, with LMMS as a co-conspirator in the process of making great dance music.
Loan and Guarantee Funds. Development - Performance - Stability
Halina Waniak-Michalak, Jan Michalak, Maciej Turała
The monograph is scientifically valuable, innovative and brings the high potential for application. The discussed topics are up to date and significant for both theory and economic practice. The literature review presented herein is of high academic quality, as is the rich empirical part which covers the stages of development of loan and guarantee funds, provides a comparison of their functioning in different countries and analyses their financial standing in the context of regional development. The monograph may be addressed to representatives of the economic practice as well as academics, in particular those specialising in public finance, local government finance, accounting and management of corporate finance. All in all, it is a valuable publication, not only on the Polish publishing market.