Generative KI

Generative AI is revolutionizing industries, and Kubernetes has fast become the backbone for deploying and managing these resource-intensive workloads. This book serves as a practical, hands-on guide for MLOps engineers, software developers, Kubernetes administrators, and AI professionals ready to combine AI innovation with the power of cloud native infrastructure. Authors Roland Huß and Daniele Zonca provide a clear road map for training, fine-tuning, deploying, and scaling GenAI models on Kubernetes, addressing challenges like resource optimization, automation, and security along the way. With actionable insights with real-world examples, readers will learn to tackle the opportunities and complexities of managing GenAI applications in production environments. Whether you're experimenting with large-scale language models or facing the nuances of AI deployment at scale, you'll uncover expertise you need to operationalize this exciting technology effectively. - Learn how to deploy LLMs more efficiently with optimized inference runtimes - Get hands-on with GPU scheduling, including hardware detection and multinode scaling - Monitor and understand LLM-specific metrics like Time to First Token and token throughput - Know when to fine-tune a model or when retrieval augmentation is the better choice - Discover how to evaluate models with standardized benchmarks before committing GPU resources - Learn to run agentic applications with secure tool integration, identity management, and persistent state

Discover how artificial intelligence thinks and reasons, and how we can make the most of their super-human abilities, in the must read book from the prize-winning technology writer and author of The Dark Net and The People vs Tech.THE SUNDAY TIMES BESTSELLER'[An] essential read' Emma Saunders, BBC Culture ReporterKnowing how to speak to AI - and how not to - is a skill that everyone now needs. Hundreds of millions of people now talk to AI, such as ChatGPT, every day. They organise their finances and holidays, ask advice, seek therapy and find love - via machines. Almost overnight, chatbots are transforming society, politics and business. This is one of the biggest and fastest technological changes in history.However, most people still don't really understand how AI works, how to make the most of it - or what the dangers are. As some people use it to turbo-charge their productivity at work, others are falling into dangerous conspiracies, delusions and psychosis.In How to Talk to AI, award-winning technology writer Jamie Bartlett takes you inside the machine: showing how we can stay in control of our powerful new companions, even as they are changing the way we live, feel, and think.Written in his accessible style, How to Talk to AI is the essential and empowering guide to help you understand how to make the most of these incredible new technologies, without succumbing to new powers of manipulation and control. Praise for Jamie Bartlett:'This book could not have come at a better moment' Sunday Times'One of the world's leading experts on the digital revolution' David Patrikarakos, Literary Review'Eye-opening ... Bartlett is an informal yet informed guide' Times Literary Supplement'Confident and well-informed' New Scientist'A hell of an achievement... Buy it and read it.' The Times'Fascinating... Jamie Bartlett is an expert guide' Independent'Highly readable' Financial Times'Smart, provoking reportage... Required reading for anyone' Tom Chatfield, author of Wise Animals: How Technology Has Made Us What We Are

Entdecken Sie die vielfältigen Möglichkeiten von generativer KI im SAP-Umfeld!In diesem Buch zeigt Ihnen das Autorenteam, wie Sie mit AP AI Core, Generative AI Hub und weiteren SAP-Tools Schritt für Schritt einen maßgeschneiderten KI-Assistenten entwickeln. Von den Grundlagen über die Personalisierung bis hin zur Bereitstellung werden Sie durch den gesamten Prozess geleitet. Zusätzlich erfahren Sie alles über die rechtlichen Rahmenbedingungen sowie Sicherheits- und Qualitätsaspekte beim Einsatz von KI.- Programmieren Sie Ihre eigene KI-Anwendung- Einsatz von Generative AI Hub, SAP AI Core, SAP AI Launchpad u.v.m.- Inkl. rechtlicher Rahmenbedingungen, KI-Sicherheit und -QualitätssicherungAus dem Inhalt:- Grundlagen von KI und Machine Learning- Large Language Models- SAP AI Core- SAP AI Launchpad- Auswahl und Finetuning von Sprachmodellen- Personalisierung mit Retrieval Augmented Generation- Training mit der SAP HANA Cloud Vector Engine- Agents - Systemintegration für Echtzeitdatenabfragen- Qualitätssicherung

- KI-Programmierung leicht gemacht - praktische Projekte ohne überflüssige Mathematik- Einsatz mächtiger Bibliotheken wie TensorFlow, SpaCy und music21 - auch ohne Vorkenntnisse in Python- Mit Programmieraufgaben, Bildern zur Veranschaulichung, Übungsfragen und vielen Anregungen zum AusprobierenStarte direkt mit echten KI-ProjektenMit diesem Buch startest du direkt durch: Du lernst künstliche Intelligenz, indem du selbst programmierst - praxisnah, kreativ und verständlich. Schritt für Schritt entwickelst du spannende KI-Anwendungen mit wenigen Codezeilen: vom Chatbot über Bilderkennung bis hin zur Musik- und Bildgenerierung. Du experimentierst mit maschinellem Lernen und verstehst, wie lernende Systeme wirklich funktionieren. Alles, was du brauchst, sind grundlegende Programmierkenntnisse.Alles dabei - von den Python-Grundlagen bis zu modernen KI-BibliothekenDank klarer Erklärungen und anschaulicher Beispiele findest du dich auch als Einsteiger schnell zurecht. Du lernst alle wichtigen Techniken kennen und setzt sie direkt um - von einfachen Klassifikationsmodellen bis hin zu generativer KI mit GANs, RNNs und Diffusionsmodellen. Dabei nutzt du professionelle Bibliotheken wie NumPy, TensorFlow, Matplotlib, SpaCy und music21.Programmieren, verstehen, experimentierenJedes Kapitel lädt zum Mitmachen ein - mit abwechslungsreichen Aufgaben, anschaulichen Abbildungen und vielen Ideen zum Ausprobieren. Du lernst, wie du KIs mit eigenen Daten trainierst oder Daten aus dem Internet nutzt, um spannende Anwendungen zu entwickeln. Die Programme kannst du entweder lokal auf deinem Rechner umsetzen oder du arbeitest im Browser mit Google Colab.Aus dem Inhalt:- Grundlagen der künstlichen Intelligenz- Generative und diskriminierende KI- KI programmieren mit Python-Bibliotheken:- NumPy- Matplotlib- TensorFlow- SpaCy- music21- Sprachmodelle und Natural Language Processing- Überwachtes, unüberwachtes und Verstärkungslernen- Künstliche neuronale Netze- Bildgenerierung mit GAN und CNN- Text erzeugen mit RNN und LSTM- Musik komponieren mit music21- Zahlreiche Aufgaben mit Lösungen

Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to combine existing building blocks to create new models and creative applications in different domains. This go-to book introduces theoretical concepts followed by guided practical applications, with extensive code samples and easy-to-understand illustrations. You'll learn how to use open source libraries to utilize transformers and diffusion models, conduct code exploration, and study several existing projects to help guide your work. - Build and customize models that can generate text and images - Explore trade-offs between using a pretrained model and fine-tuning your own model - Create and utilize models that can generate, edit, and modify images in any style - Customize transformers and diffusion models for multiple creative purposes - Train models that can reflect your own unique style

The AI Revolution Rewards Those Who Start Before They're Ready-Not After They're CertainAre you a small business owner watching competitors potentially gain ground while you're paralyzed by AI uncertainty? Do you feel trapped by endless research and fear of making costly mistakes, or long for a way to implement AI without risking your business operations? Imagine transforming your competitive position in just 60 days-not with overwhelming technical complexity, but with a proven, risk-free approach that's rooted in starting before you feel ready.The 60-Day AI Advantage is your strategic guide to mastering AI implementation without operational disruption. Whether you've struggled with technology decisions for years or are just beginning to face the AI imperative, this book will show you the path to profitable AI mastery and competitive dominance.Here's What You'll Discover:The Competitor Nightmare Solution: How to stop losing sleep about competitors gaining AI advantages while you remain stuck in analysis paralysis, and start taking strategic action that positions you ahead of the curve.Risk-Free Implementation Secrets: The breakthrough Shadow Implementation Method that allows you to test and validate AI solutions alongside existing operations without any risk of business disruption or financial loss.The 60-Day Transformation Blueprint: A systematic approach to implementing your first profitable AI solution within 60 days, even if you have zero technical expertise or limited resources.The SHADOW Framework: Learn about the revolutionary six-step methodology (Screen, Harvest, Acquire, Deploy, Optimize, Weave) that's transforming small businesses by helping them achieve AI-powered competitive advantages safely. This parallel implementation system is designed to eliminate all risks while building confidence through proven results.Order your copy of The 60-Day AI Advantage today and begin your transformation to AI implementation mastery!

Explore the potential and risks of generative AI in the legal industry In AI in Legal Tech: How Generative AI Is Transforming Legal Technology and the Practice of Law, legal-tech pioneer and guru Catherine Casey-aka, TechnoCat-delivers a startlingly insightful and up-to-date discussion of the risks and opportunities presented by generative AI in the legal sector. The author walks you through generative AI's impact on the practice of law, legal ethics, and legal careers, offering guidance and clarity on a rapidly evolving technology. Balancing engaging narrative with expert analysis, AI in Legal Tech is written specifically for non-technical legal professionals and students doing their best to navigate the intersection of technology and law. You'll find: - Explanations of how AI is shaping new legal careers and what you can do to find success in your own - A "Legal Tech Survival Kit," complete with a comprehensive Legal AI glossary and must-try tools for tech-savvy lawyers - Insights from the "front lines" of legal AI and the people designing the technologies shaping tomorrow's legal industry Perfect for practicing lawyers, law students, and law practice managers, AI in Legal Tech will also prove invaluable to legal technologists, paralegals, and anyone else interested in the application of the latest tech to the legal field.

THE AI ACT HANDBOOK //- Detailed overview of the AI Act- Impact of the AI Act on various areas (including fi nance, employment law, advertising and administration)- Related areas of law (data protection, IP and IT law)- Practical overview of AI governance, risk and compliance in companies- Information on standards, norms and certificationsBy experts for practitioners with this handbook, you can prepare yourself for the requirements of the European AI Act in a practical and compliant manner. Get comprehensive information on the effects on the various application fields of artificial intelligence in the private and public sectors. After a brief introduction to the history and technology of AI, you will receive a detailed subsumption of the content of the AI Act based on the various risk categories. Subsequently, areas of law closely related to the use of AI, in particular data protection, IP and IT law, will be dealt with in detail. By providing case studies, the book shares insights about the impact of the AI Act on various areas such as autonomous driving, work, critical infrastructure, medicine, insurance, etc. The correlation with the areas of law relevant to these areas will also be considered. A practical overview of the topic of AI governance, risk and compliance (GRC) in companies, tips on the application of guidelines and governance frameworks, implementation ideas for trustworthy AI as well as standards, norms and certifications complement the book.The TEAM OF AUTHORS consists of lawyers specializing in IT and data protection law and the use of AI. It includes, among others, one of Austria's representative in the AI Act negotiations at EU Council level and the founder of the Austrian association Women in AI.FROM THE CONTENTS //- What Is AI and How Do Data Science and Data Analytics Differ?- Geopolitics of Artificial Intelligence- AI Act: Rights and Obligations- Data Protection- Intellectual Property- AI and IT Contract Law- Private Sector- Public Sector- Ethics- Governance in the Company

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for programmers, it focuses on practical applications using PyTorch, helping you build real-world models without feeling overwhelmed. From computer vision and natural language processing (NLP) to generative AI with Hugging Face Transformers, this book equips you with the skills most in demand for AI development today. You'll also learn how to deploy your models across the web and cloud confidently. - Gain the confidence to apply AI without needing advanced math or theory expertise - Discover how to build AI models for computer vision, NLP, and sequence modeling with PyTorch - Learn generative AI techniques with Hugging Face Diffusers and Transformers

DESCRIPTION The power of AI and ML can only be harnessed if one knows how to utilize it effectively. This book serves as your accessible guide to understanding the core principles and the exciting world of prompt engineering, a crucial skill in today's AI-driven landscape. Whether you are a curious beginner or a tech enthusiast, this book will illuminate the path to mastering intelligent interactions with AI.Explore the evolution of AI and ML, starting with foundational concepts and historical milestones, progressing to the fascinating realm of generative models and the revolutionary rise of transformer architectures like GPT. Discover the art and science behind crafting effective prompts, exploring various prompt types, understanding the significance of tokens and syntax, and implementing efficiency strategies. You will gain insights into practical tools and platforms, alongside a crucial understanding of the ethical and societal implications and the financial considerations of working with AI. Finally, explore real-world applications through examples of cutting-edge chatbots and AI systems. The book covers ethical practices and best practices that help users achieve efficiency while also considering AI's broader impacts on privacy, security, and fairness.By the end of this book, you will possess a solid understanding of the technological underpinnings of modern AI and the practical expertise to engineer compelling and effective prompts. You will be well-equipped to navigate the evolving world of AI and leverage its capabilities with confidence and competence.WHAT YOU WILL LEARN¿ Grasp AI/ML Foundations, historical context, diverse learning paradigms, and core concepts.¿ Understand AI, ML Foundations, Transformer-based systems, and the future directions of prompt engineering.¿ Explore generative models' development, GAN mechanics, and the shift towards transformers.¿ Comprehend transformer architecture, self-attention, and the rise of GPT-like models.¿ Master transformer models' pivotal role and application in effective prompt engineering.WHO THIS BOOK IS FORThis book is tailored for AI professionals, developers, and enthusiasts aiming to deepen their practical AI interaction skills. It also benefits educators, tech industry workers, and individuals involved in designing or implementing AI solutions in their workflows, requiring a foundational understanding of fundamental technology concepts.

GenAI is fundamentally changing the world of software development like nothing since the internet. Vibe Coding is a first-of-its-kind, groundbreaking book that shows developers how to embrace this new frontier.<BR><BR>Science fiction is now reality. Programmers no longer need to toil over code and syntax. They can now describe what they want and watch it materialize instantly. Welcome to the future—Vibe Coding.<BR> <BR> In this groundbreaking book, industry veterans Steve Yegge (Google, Amazon, Sourcegraph) and WSJ bestselling author Gene Kim (The Phoenix Project and The DevOps Handbook) reveal how vibe coding is transforming software development as we know it. By leveraging the power of AI assistance—where intent and flow matter more than syntax—developers can achieve unprecedented levels of productivity, creativity, and joy.<BR> <BR> Drawing from decades of combined experience in software engineering and developer productivity, Yegge and Kim demonstrate how Vibe Coding enables developers to:<BR> - Transform complex programming challenges into fluid conversations with GenAI. - Build more ambitious projects faster while maintaining code quality you can be proud of. - Achieve incredible things yourself that otherwise would require a team. - Master the art of co-creating with your AI companion. - Break free from traditional programming constraints such as syntax and setup. - Build confidently in multiple programming languages and frameworks you've never used before. <BR>But this isn't just about coding faster—it's about fundamentally changing how we approach software development. The authors share practical strategies for implementing GenAI-powered development in real-world scenarios, from small projects to enterprise-scale applications, while maintaining the engineering excellence that modern systems demand.<BR> <BR> Whether you're a seasoned developer looking to stay ahead of the AI revolution, a technical leader guiding your team through this transformation, a former coder returning after a break, or someone just starting their career, this handbook provides the roadmap you need to thrive in the new era of software development.<BR> <BR> Don't get left behind in the biggest transformation our industry has seen since the internet revolution. Learn how to harness the power of vibe coding and unlock your full potential as a developer.<BR> <BR>2026 Axiom Book Awards Gold Medal Winner

Ihr Guide für eigene RAG-Anwendung!Freuen Sie sich auf einen umfassenden Einstieg in die Welt der Generativen KI mit Python. Dieses Buch deckt Schlüsselkonzepte wie Large Language Models (LLMs), LangChain, Vektordatenbanken und Retrieval-Augmented-Generation (RAG) ab. Sie lernen die Grundlagen des Prompt Engineering kennen und erfahren, wie Sie Agentensysteme entwickeln und deployen.Mit praxisnahen Beispielen und klaren Erklärungen tauchen Sie tief in die Materie ein - ideal für alle, die Generative KI-Lösungen mit Python umsetzen wollen.- Generative KI und LLMs mit LangChain verstehen und implementieren- Vektordatenbanken und RAG-Anwendungen entwickeln- Prompt Engineering, Agentensysteme, Deployment u. v. m.Aus dem Inhalt:- Große Sprachmodelle - LLMs und LMMs- Prompt Engineering- Sprachanalyse (NLP)- Vektordatenbanken- LangChain- HuggingFace- crewAI- AutoGen- OpenAI- und andere APIs- Agentensysteme- Deployment

Dieses Buch erläutert die grundlegenden Mechanismen künstlicher Intelligenz und veranschaulicht ihre vielfältigen Anwendungsfelder. Es startet mit einer fundierten Einführung in die theoretischen Grundlagen - von der historischen Entwicklung über die technischen Prinzipien bis hin zu den aktuell führenden KI-Modellen.Im Mittelpunkt steht die praktische Anwendung: Schritt-für-Schritt-Anleitungen, erprobte Methoden und nützliche Tipps zeigen, wie KI im Alltag und Beruf effektiv eingesetzt werden kann. Das Werk richtet sich sowohl an Einsteiger als auch an fortgeschrittene Anwender, die ihr Wissen vertiefen und moderne KI-Technologien gezielt nutzen möchten.- Chat­GPT in der Praxis, einschließlich fortgeschrittener Funktionen und Abonnement-Features- Techniken für effektives Prompting und Textanalyse- Bildgenerierung mit DALL-E- Videogenerator Sora- Umfassende Einführung in Google Gemini auf dem Handy- Bild- und Videogenerierung mit Google Gemini- Überblick über weitere KI-Systeme

Neu in der Kult-Reihe: einschlägige KI-Verfahren lernen!Du kannst schon mit Python programmieren und möchtest jetzt mit KI durchstarten? Und zwar wirklich selbst programmieren und lernen, was dahinter steckt? Perfekt! Schrödinger hat den gleichen Plan wie du und kennt zwei Profis, die euch alles erklären. Wichtige KI-Algorithmen, wie man sie implementiert und wann welcher am besten passt. Mit scikit-learn, TensorFlow und Keras lernt ihr mächtige Python-Bibliotheken und Frameworks kennen. Zu jedem Thema könnt ihr intuitiv mit Jupyter Notebooks arbeiten, die mit dem Code aus dem Buch online für euch bereit stehen.<BR>Schrödinger stellt meistens genau die Frage, die du auch gerade hattest, und Bernhard und Sebastian haben immer eine gute Antwort parat. Gemeinsam implementiert ihr Entscheidungsbäume und Co., arbeitet euch durch Zeitreihenanalysen und baut am Ende einen Chatbot mit eigenem GPT. Wenn etwas nicht gleich so läuft, wie es soll, wird getüftelt, erklärt und repariert, bis alles funktioniert - und ihr alles verstanden habt.<BR>Mit außergewöhnlichen Beispielen, in Farbe und fantastisch illustriert.Aus dem Inhalt:- Warum Python für KI so genial ist- Merkmale, Räume und Vektoren - die Mathematik, mit der Maschinen lernen- K-nearest Neighbors, k-means und DBScan- Deep Learning mit mächtigen Bibliotheken: scikit-learn, TensorFlow und Keras- Clusteranalyse- Entscheidungsbäume- Bildklassifizierung: Hund oder Katze?- Neuronale Netze und Transformer verstehen- Ein einfacher Chatbot mit eigenem GPT

Designed for educators, researchers, and policymakers, this insightful book equips readers with practical strategies, critical perspectives, and ethical insights into integrating AI in education. First published in Swedish in 2023, and here translated, updated, and adapted for an English-speaking international audience, it provides a user-friendly guide to the digital and AI-related challenges and opportunities in today's education systems. Drawing upon cutting-edge research, Thomas Nygren outlines how technology can be usefully integrated into education, not as a replacement for humans, but as a tool that supports and reinforces students' learning. Written in accessible language, topics covered include AI literacy, source awareness, and subject-specific opportunities. The central role of the teacher is emphasized throughout, as is the importance of thoughtful engagement with technology. By guiding the reader through the fastevolving digital transformation in education globally, it ultimately enables students to become informed participants in the digital world.