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Alferink B: Programmierung mit SCL und
dem TIA Portal

Programmierung mit SCL und dem TIA Portal

Einführung in die SPS-Programmierung mit S7-1500 und S7-1200

This book is designed to help PHP programmers, whether experienced or looking to advance, transition into the world of Functional Programming (FP). It covers the key concepts and practical applications of FP in PHP, with a particular focus on function composition. By introducing ideas like immutability, referential transparency, and the role of functions in abstraction and generalization, the book aims to give readers the fundamental knowledge necessary to incorporate FP principles into their PHP projects.

The book distills the theoretical foundations of paradigmatic concepts such as functors, monads, lenses, pattern matching, and recursion, ideas congruent with the rationale of composing functions, into comprehensive segments that each offer demonstrations of how to apply them in solving problems that occur in everyday PHP development. So robustly intuitive are the demonstrations of paradigmatic concepts that they can easily be revised for deployment in more elaborate and often complex language codebases. In offering these, the book equips its readers to favor composition when designing solutions to challenging problems.

Additionally, the book dispels common misconceptions about FP, describes the paradigm’s influence on the creation of commonplace programming ideas that, at a glance, might not seem related to it, and explores how it can be integrated with other programming paradigms. Emphasized throughout the book are the benefits of creating and using higher-order abstractions, which instate composable error handling, rigorous testing, and lazy flow control. The goal is to help readers develop a deeper understanding of FP, enabling them to incorporate its powerful patterns into their everyday programming practice and elevate their technical proficiency.

You Will Learn:

<li>
The foundations of functional programming and the potency of composition.


</li><li>
How to apply advanced patterns like partial application, currying, and transducers in PHP projects.


</li><li>
How to speed up I/O operations with paradigmatic techniques and familiar concurrency concepts.


</li><li>
How to use higher-order abstractions to write cleaner, more maintainable PHP code.





This Book is for:

PHP programmers looking to advance their skills and deepen their understanding of Functional Programming by learning new techniques for improving their code.
</li>

This book is designed to help PHP programmers, whether experienced or looking to advance, transition into the world of Functional Programming (FP). It covers the key concepts and practical applications of FP in PHP, with a particular focus on function composition. By introducing ideas like immutability, referential transparency, and the role of functions in abstraction and generalization, the book aims to give readers the fundamental knowledge necessary to incorporate FP principles into their PHP projects.The book distills the theoretical foundations of paradigmatic concepts such as functors, monads, lenses, pattern matching, and recursion, ideas congruent with the rationale of composing functions, into comprehensive segments that each offer demonstrations of how to apply them in solving problems that occur in everyday PHP development. So robustly intuitive are the demonstrations of paradigmatic concepts that they can easily be revised for deployment in more elaborate and often complex language codebases. In offering these, the book equips its readers to favor composition when designing solutions to challenging problems.Additionally, the book dispels common misconceptions about FP, describes the paradigm’s influence on the creation of commonplace programming ideas that, at a glance, might not seem related to it, and explores how it can be integrated with other programming paradigms. Emphasized throughout the book are the benefits of creating and using higher-order abstractions, which instate composable error handling, rigorous testing, and lazy flow control. The goal is to help readers develop a deeper understanding of FP, enabling them to incorporate its powerful patterns into their everyday programming practice and elevate their technical proficiency.You Will Learn:<ul><li>The foundations of functional programming and the potency of composition.</li><li>How to apply advanced patterns like partial application, currying, and transducers in PHP projects.</li><li>How to speed up I/O operations with paradigmatic techniques and familiar concurrency concepts.</li><li>How to use higher-order abstractions to write cleaner, more maintainable PHP code.</li></ul>This Book is for:PHP programmers looking to advance their skills and deepen their understanding of Functional Programming by learning new techniques for improving their code.&nbsp;

A Primer for Composing Software in PHP

Functional Programming in PHP

Heart Gear

Der dritte Weltkrieg vor 200 Jahren hat die Erde in eine raue Einöde verwandelt und die Menschheit ausgerottet. Nur Teenagerin Roue führt in einer stillgelegten Anlage mit einem Androiden, den sie liebevoll "Onkel Zett" nennt, ein friedliches Leben. Eines Tages liest sie eine weitere Maschine auf, die aufgrund eines fehlenden Basisprogramms nicht voll funktionstüchtig ist. Der unbeholfene Neuzugang "Chrome" bringt Abwechslung in den Alltag - doch schon kurz darauf wird Roues Leben durch die brutale Begegnung mit einem Kampfroboter auf den Kopf gestellt ...

Der dritte Weltkrieg vor 200 Jahren hat die Erde in eine raue Einöde verwandelt und die Menschheit ausgerottet. Nur Teenagerin Roue führt in einer stillgelegten Anlage mit einem Androiden, den sie liebevoll „Onkel Zett“ nennt, ein friedliches Leben. Eines Tages liest sie eine weitere Maschine auf, die aufgrund eines fehlenden Basisprogramms nicht voll funktionstüchtig ist. Der unbeholfene Neuzugang „Chrome“ bringt Abwechslung in den Alltag – doch schon kurz darauf wird Roues Leben durch die brutale Begegnung mit einem Kampfroboter auf den Kopf gestellt …

Heart Gear – Band 1

Ready to get cooking with ABAP? Discover shortcuts and solutions for all of your regular ABAP tasks in this practical guide. Walk step by step through important programming techniques and tools, from table management to extension implementation, following "recipes" for each task along the way. Make the most of new models and frameworks with examples built around ABAP Cloud and the ABAP RESTful application programming model. Get all the solutions you need for the most common problems in ABAP development! Highlights include:1)System fields and runtime information2)Customer data browser3)Application log4)Change documents5)Lock objects6)Number range objects7)File upload8)Background processing9)Parallelization10)Email 11)Documentation

Ready to get cooking with ABAP? Discover shortcuts and solutions for all of your regular ABAP tasks in this practical guide. Walk step by step through important programming techniques and tools, from table management to extension implementation, following "recipes" for each task along the way. Make the most of new models and frameworks with examples built around ABAP Cloud and the ABAP RESTful application programming model. Get all the solutions you need for the most common problems in ABAP development! Highlights:System fields and runtime informationCustomer data browserApplication logChange documentsLock objectsNumber range objectsFile uploadBackground processingParallelizationEmail Documentation

Practical Recipes for Modern Programming

ABAP Cookbook

Graduate to the next level of your software development career, learning the tools you need to successfully manage the complexity of modern software systems. Whether you are a developer at a small software company or one of many developers at a large enterprise, your success directly correlates to the ability of your development team to rapidly respond to change. In today’s world, developers face increasingly complex challenges when it comes to requirements, technology, solution hosting, support, and pace of change. This book will help you put on the lens of a software engineer. You will come away with an understanding of how to view the entire spectrum of the software development process, learn valuable concepts, and apply these principles through meaningful examples.
What You Will Learn
<ul>
<li>Move beyond being a programmer to being a professional software engineer

</li><li>Spend more time developing software; minimize time spent dealing with ineffective or inadequate processes

</li><li>Reduce errors in judgment and provide predictable outcomes while maintaining agility and responsiveness using Lean and Agile practices

</li><li>Identify and effectively manage the various types of complexity present in modern software development

</li><li>Know the steps you can take to ensure a shared understanding among stakeholders

</li><li>Discover tools to validate user experience early and often to minimize costly re-work

</li><li>Develop software designs and architectures that enable long-term business agility

</li><li>Implement patterns and processes that result in "falling into the pit of success" instead of into the "pit of failure"

</li><li>Adopt processes and patterns that will result in pervasive "institutionalized" quality

</li><li>Think differently about the responsibilities and accountabilities of essential technical leadership roles that will ensure team maturity and growth

</li><li>Understand what it means to be a professional engineer and how to take steps towards achieving true professionalism



Who This Book Is For
This book is for software developers and team leaders who have struggled to implement design and development best practices due to lack of team resources, in-depth knowledge, or experience, and want a book designed to provide the confidence and foundational skills needed to achieve success.
</li></ul>

Achieving Predictable Outcomes Through a System for Software Development

Lean Software Systems Engineering for Developers

Essentials

DevOps ist in vielen Startups, aber auch in großen Konzernen erfolgreich. Dieses Buch vermittelt in der 2. Auflage das Wichtigste, was man dazu wissen muss: Kurz &amp; knackig, dabei aber auch fundiert und informativ.&nbsp; Die voranschreitende Digitalisierung von Organisationen erzwingt neue Herangehensweisen. Agilität ist dabei in aller Munde. Eines der wirksamsten Werkzeuge, um diese Agilität in der IT umzusetzen ist DevOps. DevOps definiert das Zusammenspiel von IT-Entwicklung, IT-Betrieb und Kunden mit Hilfe von Kultur, Werkzeugen und Prozessen. Das Buch wendet sich an Führungskräfte, Projektleiter und IT-Praktiker in Unternehmen, aber auch an Akademiker und Studierende aus dem Hochschulbereich.
Der Inhalt
·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Was ist DevOps?
·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Aktivitäten von DevOps: von der Planung bis zum IT-Betrieb
·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Kulturelle, organisationale und kommunikative Aspekte
·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Wie führt man DevOps in Unternehmen ein?
·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Kritik an DevOps
Die Autoren
Jürgen Halstenberg ist als Berater und Trainer bei der Maxpert GmbH seit vielen Jahren Teil der DevOps-Community in Deutschland
Dr.&nbsp;Bernd Pfitzinger ist People Lead bei der Toll Collect GmbH, Buchautor und Autor zahlreicher Veröffentlichungen
Dr. Thomas Jestädt ist IT-Manager, Buchautor und Lehrbeauftragter an der Technischen Universität Berlin.
Der Autoren sind DevOps-Master und beschäftigen sich seit vielen Jahren mit DevOps sowie der Optimierung von IT-Services zum Nutzen der Kunden.

DevOps, eine Zusammensetzung aus den Begriffen 
 Dev
 elopment und IT 
 Op
 erations, ist ein Ansatz, der in vielen Start-ups, aber auch in großen Konzernen erfolgreich ist. DevOps definiert das Zusammenspiel von IT-Entwicklung, IT-Betrieb und dem Kunden mithilfe von Kultur, Werkzeugen und Prozessen neu. Dieses 
 essential
 vermittelt das Wichtigste, was man dazu wissen muss.
 Die&nbsp;Autoren sind DevOps-Master und beschäftigen sich seit vielen Jahren mit DevOps sowie der Optimierung von IT-Services.

Ein Überblick

DevOps

This book is a hands-on, technical guide to building and deploying generative AI models using advanced deep learning architectures like transformers, GANs, VAEs, and diffusion models. Designed for AI engineers, data scientists, and ML practitioners, it offers a practical roadmap from data ingestion to real-world deployment and evaluation.

The book starts by guiding readers on selecting the right model architecture for their application, be it text generation, image synthesis, or multimodal tasks. It then walks through essential components of model training, including dataset handling, self-supervised learning, and core optimisation techniques such as backpropagation, gradient descent, and learning rate scheduling. It also delves into large-scale training infrastructure, covering GPU/TPU usage, distributed computing frameworks, and system-level strategies for scaling performance. Practical guidance is provided on fine-tuning models with domain-specific data and applying reinforcement learning from human feedback (RLHF), model quantisation, and pruning to improve efficiency. Key challenges in generative AI—such as overfitting, bias, hallucination, and data efficiency—are addressed through proven techniques and emerging best practices. Readers will also gain insight into model interpretability and generalisation, ensuring robust and trustworthy outputs. The book demonstrates how to build scalable, production-ready generative systems across domains like media, healthcare, scientific simulation, and design through real-world examples and applied case studies.

 

By the end, readers will gain an understanding of how to architect, optimise, and apply generative models across diverse domains such as media creation, healthcare, design, scientific simulation, and beyond.

What you will learn;

Learn how to choose and implement generative models—VAEs, GANs, transformers, and diffusion models—for specific use cases.

Master training optimization techniques such as backpropagation, gradient descent, adaptive learning rates, and regularization.

Apply best practices for large-scale training using GPUs, TPUs, and distributed computing frameworks for performance scaling.

Boost model efficiency through quantization, pruning, fine-tuning, and RLHF to enhance output quality and reduce overhead.




Who this book is for:

AI Engineers and Machine Learning Practitioners looking to build and deploy generative models in real-world applications. Data Scientists working on deep learning projects involving text, vision, audio, or multimodal generation.

This book is a hands-on, technical guide to building and deploying generative AI models using advanced deep learning architectures like transformers, GANs, VAEs, and diffusion models. Designed for AI engineers, data scientists, and ML practitioners, it offers a practical roadmap from data ingestion to real-world deployment and evaluation.The book starts by guiding readers on selecting the right model architecture for their application, be it text generation, image synthesis, or multimodal tasks. It then walks through essential components of model training, including dataset handling, self-supervised learning, and core optimisation techniques such as backpropagation, gradient descent, and learning rate scheduling. It also delves into large-scale training infrastructure, covering GPU/TPU usage, distributed computing frameworks, and system-level strategies for scaling performance. Practical guidance is provided on fine-tuning models with domain-specific data and applying reinforcement learning from human feedback (RLHF), model quantisation, and pruning to improve efficiency. Key challenges in generative AI—such as overfitting, bias, hallucination, and data efficiency—are addressed through proven techniques and emerging best practices. Readers will also gain insight into model interpretability and generalisation, ensuring robust and trustworthy outputs. The book demonstrates how to build scalable, production-ready generative systems across domains like media, healthcare, scientific simulation, and design through real-world examples and applied case studies.&nbsp;By the end, readers will gain an understanding of how to architect, optimise, and apply generative models across diverse domains such as media creation, healthcare, design, scientific simulation, and beyond.What you will learn;<ul><li>Learn how to choose and implement generative models—VAEs, GANs, transformers, and diffusion models—for specific use cases.</li><li>Master training optimization techniques such as backpropagation, gradient descent, adaptive learning rates, and regularization.</li><li>Apply best practices for large-scale training using GPUs, TPUs, and distributed computing frameworks for performance scaling.</li><li>Boost model efficiency through quantization, pruning, fine-tuning, and RLHF to enhance output quality and reduce overhead.</li></ul>Who this book is for:AI Engineers and Machine Learning Practitioners looking to build and deploy generative models in real-world applications. &nbsp;Data Scientists working on deep learning projects involving text, vision, audio, or multimodal generation.

A Practical Guide to Generative AI Development and Scaling

Building and Training Generative AI Models

- Numerical computing with NumPy arrays, dtypes, vectorized operations
- Data analysis using Pandas DataFrames, grouping, pivoting, and time series
- Scientific visualization with Matplotlib plots, layouts, and contour graphics
- Real-world data work: files, missing data, binning, and indexing
- Applied Python: image processing, probability, and practical projects

This book teaches the Python fundamentals required to solve numerical problems in data science and machine learning. 
The first part focuses on NumPy as the foundation of numerical programming, covering arrays as the core data type, numerical operations, broadcasting, and universal functions, as well as statistics, probability, Boolean masking, and file handling.
The second part is devoted to data visualization with Matplotlib, ranging from core concepts to line, bar, histogram, and contour plots. The third part introduces Pandas, including Series and DataFrames, importing and exporting Excel, CSV, and JSON files, handling missing data, and visualization directly within Pandas.
The fourth part presents practical applications, including a household budget project, an incomeexpenditure analysis, and an introduction to image processing.
The book concludes with a fifth part containing solutions to the numerous exercises that accompany almost every one of the 33 chapters.

WHAT'S INSIDE //
Numerical operations on multidimensional arrays/Broadcasting and universal functions (ufuncs)/Discrete &amp; continuous plots/Bar charts, histograms, and contour plots/Series and DataFrames/Working with Excel, CSV, and JSON files/Handling missing data (NaN)/Data visualization techniques/Image processing funda mentals/Budget tracking and incomeexpenditure analysis

Python Data Analysis with NumPy, Pandas, and Matplotlib

Numeric Python

Multitasking ist der Schlüssel zu leistungsfähigen Embedded-Systemen, und zugleich eine der größten Herausforderungen in der Mikrocontroller-Programmierung. Dieses Buch zeigt Ihnen Schritt für Schritt, wie Sie von einem einfachen Ein-Task-Programm zu einem strukturierten, reaktionsfähigen und skalierbaren System gelangen. Dabei steht nicht nur das Wie, sondern vor allem das Warum im Mittelpunkt.Sie lernen:<ul><li>warum scheinbare Parallelität entsteht</li><li>weshalb blockierende Programme instabil werden</li><li>wie Aufgaben effizient und kontrolliert parallel ablaufen</li>
 
 </ul>Ausgehend vom klassischen Superloop vermittelt das Buch moderne Multitasking-Strategien - von nicht-blockierender Programmierung und Tick-Systemen bis zu Task-Schedulern, Zustandsmaschinen und ereignisgesteuerten Konzepten.Der Fokus liegt auf der Praxis: Sensoren, Displays, Kommunikation und reale Anwendungen werden Schritt für Schritt integriert und mit verständlich kommentierten Beispielprogrammen erklärt.Fortgeschrittene Themen umfassen:<ul><li>Multicore-Programmierung mit dem Raspberry&nbsp;Pi&nbsp;Pico</li><li>asynchrones Programmieren mit uasyncio</li><li>RTOS-Grundlagen mit FreeRTOS</li><li>die Kombination aus Multicore und RTOS</li>
 
 </ul>Dabei werden auch die Grenzen dieser Techniken, insbesondere unter MicroPython, klar aufgezeigt.Das Buch richtet sich an ambitionierte Einsteiger und fortgeschrittene Entwickler, die Embedded-Systeme fundiert verstehen und robuste, wartbare Multitasking-Anwendungen entwickeln möchten.

Zeitsteuerung, Scheduler, PIO und Zustandsmaschinen

Multitask-Programmierung mit dem Raspberry Pi Pico

Kreativschaffende haben heute mehr Ausdrucksmöglichkeiten als jemals zuvor - gleichzeitig wird die Darstellbarkeit der Welt mit zunehmender Komplexität und Nuancierung immer schwieriger. Was der Branche fehlt, sind nicht (noch mehr) Technik und Daten, sondern eine neue Art zu denken. Design Unlimited präsentiert eine explorative Denk- und Designmethode, die dynamische Identitäten und bedeutungsvolle Verbindungen zwischen Menschen und Marken erschafft.
Technik wird hier nicht mehr nur als Werkzeug begriffen, sondern als Partner, und die vielfältigen Phänomene unserer Umwelt zum treibenden Faktor von Gestaltung. Design wird zum co-kreativen Prozess zwischen Mensch, Maschine und Umwelt. Patrik Hübner und Larissa Lenze öffnen eine neue Dimension zwischen Idee, Story und Gestaltung, um grenzenlos zu denken, zu gestalten und Ungesehenes sichtbar zu machen.

In einer Welt, die von rasanten technologischen und gesellschaftlichen Veränderungen geprägt ist, ist es an der Zeit, Marketing und Design neu auszurichten. Doch wie viel Raum bleibt für echte Transformation in einer Branche, die von Geschwindigkeit, Effizienz und Unmittelbarkeit getrieben wird? 
Diese Publikation ist ein Leitfaden für Kreativschaffende, die ihren Platz in einer sich wandelnden Kreativlandschaft finden wollen. Sie greift die zentralen Themen der Branche auf und läutet eine neue Ära des Brandings ein – eine Ära, in der Storytelling, Markenidentität und generatives Design zusammenfinden.
Technologie wird dabei nicht länger nur als Werkzeug verstanden, sondern als Partner. Die vielfältigen Phänomene unserer Umwelt werden zum treibenden Faktor gestalterischer Prozesse. Design entwickelt sich zu einem ko-kreativen Zusammenspiel von Mensch, Maschine und Umwelt. Patrik Hübner und Larissa Lenze eröffnen eine neue Dimension zwischen Idee, Story und Gestaltung – mit dem Anspruch, grenzenlos zu denken, zu gestalten und das Ungesehene sichtbar zu machen.

Visual Communication and Storytelling with Generative Design and Data

Design Unlimited

Learn the basics of web development using Axum, the popular Rust-based web development framework, and build a chatting app which is ready to deploy. This book will be an invaluable introduction to Axum and how to use it develop the backend and server along with a wide range of associated tools like WebSocket and SeaORM. 
 The book begins with an introduction to the Rust programming language and server development and then goes on to explore the basics of Axum. This is followed by detailed instructions on how to set up a server using Axum. The book then guides you through connecting to a database using SeaORM. After you have connected your backend to a database, you will learn about Tower Middleware and how to use it to create a JWT authentication layer for your application. The next portion of the book will instruct you in the use of WebSocket and how to implement concurrent WebSocket connections. The final chapter ties all the theories and examples of the preceding chapters together and helps you in building the capstone project of your own chatting app, putting all the skills you have learnt through the book to the test.
 
 This book is the book you will need if you want to get started on Axum. It is packed full of useful tips and step-by-step instructions. In addition to the theoretical information, the chapters are supplemented by real-life examples of the use of the concepts as well as quizzes that you can use to test your understanding. By the end of the book you will not only have gained competence in Axum, but you will have gained confidence in using it for actual projects.
 
 You Will Learn To:
 <ul><li>Use Axum to create the backend server for your own applications</li><li>How to use SeaORM, which is also written in Rust, and Postgres for database layer of the server application</li><li>Implement Axum in real-world scenarios</li></ul>&nbsp;

Learn the basics of web development using Axum, the popular Rust-based web development framework, and build a chatting app which is ready to deploy. This book will be an invaluable introduction to Axum and how to use it develop the backend and server along with a wide range of associated tools like WebSocket and SeaORM.The book begins with an introduction to the Rust programming language and server development and then goes on to explore the basics of Axum. This is followed by detailed instructions on how to set up a server using Axum. The book then guides you through connecting to a database using SeaORM. After you have connected your backend to a database, you will learn about Tower Middleware and how to use it to create a JWT authentication layer for your application. The next portion of the book will instruct you in the use of WebSocket and how to implement concurrent WebSocket connections. The final chapter ties all the theories and examples of the preceding chapters together and helps you in building the capstone project of your own chatting app, putting all the skills you have learnt through the book to the test.This book is the book you will need if you want to get started on Axum. It is packed full of useful tips and step-by-step instructions. In addition to the theoretical information, the chapters are supplemented by real-life examples of the use of the concepts as well as quizzes that you can use to test your understanding. By the end of the book you will not only have gained competence in Axum, but you will have gained confidence in using it for actual projects.You Will Learn To:<ul><li>Use Axum to create the backend server for your own applications</li><li>How to use SeaORM, which is also written in Rust, and Postgres for database layer of the server application</li><li>Implement Axum in real-world scenarios</li></ul>This Book is ForBeginners with a basic grasp of Rust or intermediate web developers interested in expanding their knowledge of Axum

Learning Modern Web Development With Rust

Beginning Axum

This book is a complete, hands-on guide to designing, training, and deploying your own Large Language Models (LLMs)—from the foundations of tokenization to the advanced stages of fine-tuning and reinforcement learning. Written for developers, data scientists, and AI practitioners, it bridges core principles and state-of-the-art techniques, offering a rare, transparent look at how modern transformers truly work beneath the surface.
Starting from the essentials, you’ll learn how to set up your environment with Python and PyTorch, manage datasets, and implement critical fundamentals such as tensors, embeddings, and gradient descent. You’ll then progress through the architectural heart of modern models, covering RMS normalization, rotary positional embeddings (RoPE), scaled dot-product attention, Grouped Query Attention (GQA), Mixture of Experts (MoE), and SwiGLU activations, each explored in depth and built step by step in code. As you advance, the book introduces custom CUDA kernel integration, teaching you how to optimize key components for speed and memory efficiency at the GPU level—an essential skill for scaling real-world LLMs. You’ll also gain mastery over the phases of training that define today’s leading models:
<ul>
<li>Pretraining - Building general linguistic and semantic understanding.

</li><li>Midtraining - Expanding domain-specific capabilities and adaptability.

</li><li>Supervised Fine-Tuning (SFT) - Aligning behavior with curated, task-driven data.

</li><li>Reinforcement Learning from Human Feedback (RLHF) - Refining responses through reward-based optimization for human alignment.



The final chapters guide you through dataset preparation, filtering, deduplication, and training optimization, culminating in model evaluation and real-world prompting with a custom TokenGenerator for text generation and inference.
By the end of this book, you’ll have the knowledge and confidence to architect, train, and deploy your own transformer-based models, equipped with both the theoretical depth and practical expertise to innovate in the rapidly evolving world of AI.
What You’ll Learn
<ul>
<li>How to configure and optimize your development environment using PyTorch

</li><li>The mechanics of tokenization, embeddings, normalization, and attention mechanisms.

</li><li>How to implement transformer components like RMSNorm, RoPE, GQA, MoE, and SwiGLU from scratch.

</li><li>How to integrate custom CUDA kernels to accelerate transformer computations.

</li><li>The full LLM training pipeline: pretraining, midtraining, supervised fine-tuning, and RLHF.

</li><li>Techniques for dataset preparation, deduplication, model debugging, and GPU memory management.

</li><li>How to train, evaluate, and deploy a complete GPT-like architecture for real-world tasks.





Who this book is for:
Software developers, data scientists, machine learning engineers and AI enthusiasts looking to build their models from scratch.
</li></ul></li></ul>

Design, Train, and Deploy LLMs with PyTorch

Building Large Language Models from Scratch

Roue und Chrome haben ein neues Ziel: Heaven Land. Auf der Suche nach Anhaltspunkten erhalten sie den Tipp, "Valhalla" anzusteuern - eine Arena, in der pausenlos Kampf-Gear aufeinandergehetzt wird. Roue ist nicht ganz wohl bei dem Gedanken, einen solch gefährlichen Ort aufzusuchen. Außerdem hat mittlerweile auch jemand ein Auge auf sie geworfen: Wraith, eine Androidin von kleiner Gestalt, doch mit viel Macht...

Roue und Chrome haben ein neues Ziel: Heaven Land. Auf der Suche nach Anhaltspunkten erhalten sie den Tipp, „Valhalla“ anzusteuern – eine Arena, in der pausenlos Kampf-Gear aufeinandergehetzt wird. Roue ist nicht ganz wohl bei dem Gedanken, einen solch gefährlichen Ort aufzusuchen. Außerdem hat mittlerweile auch jemand ein Auge auf sie geworfen: Wraith, eine Androidin von kleiner Gestalt, doch mit viel Macht…

Heart Gear – Band 2

Programmierung mit SCL und dem TIA Portal

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