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Burkov A: Language Models kompakt

Language Models kompakt

Praxisorientierte Sprachmodellierung mit PyTorch

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice explores the transformative role of AI and data science in enhancing precision medicine, predictive analytics, and medical practice. The book covers diverse topics such as AI-driven personalized medicine, seizure prediction through EEG analysis, and the application of chaos theory in AI-driven healthcare. The volume also delves into medical practice and education, including ethical considerations, AI-driven supply chain management, and clinical documentation using natural language processing. Furthermore, it examines AI's role in telemedicine, patient engagement, and adherence, offering innovative solutions to improve healthcare delivery and outcomes.

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

Augmented and Virtual Reality in Healthcare

AI Futures

Redefining Arms Races and Contemporary Warfare

Artificial Intelligence and International Security

Smart Charging Infrastructures

Enhancing Reflective Teaching in Higher Education

Redefining Teaching and Learning

GenAI in Higher Education

Machine Learning For Dummies

Artificial Intelligence and Machine Learning in Data Science and Analytics

Welche Handlungsspielräume haben wir in einer Welt, die zunehmend von Künstlicher Intelligenz geprägt wird? Was kommt auf uns zu? Dieses Buch lädt dazu ein, unsere Zukunft in einer von KI geprägten Welt bewusst zu reflektieren. Arbeitsplatzverlust, Diskriminierung, Manipulation, Cyberangriffe und das endgültige Verschwinden von Privatsphäre sind nur der Anfang, denn KI wird unser Mensch-Sein an sich in Frage stellen.
Eine unregulierte KI wird unsere Wahrnehmung immer tiefer in virtuelle Metaversen entführen, aus denen es kein Zurück mehr gibt. Sie verändert nicht nur unsere mentalen Lebenswelten, sondern auch unsere Physis. Wenn Menschen durch Body-Enhancement KI-gesteuerte Zusatzfunktionen in ihre Körper integrieren und Roboter mit biologischen Komponenten ausgerüstet werden, verschwimmen die Grenzen zwischen Mensch und Maschine. Wir werden zu Cyborgs – aus Science-Fiction wird eine vorhersehbare Realität.
Um diese Entwicklungen wissenschaftlich, gesellschaftspolitisch und ethisch einzuordnen, begeben wir uns auf eine kulturhistorische Reise, die von der Antike bis in ein vielleicht gar nicht mehr so fernes Morgen führt.

Welche Handlungsspielräume haben wir in einer Welt, die zunehmend von Künstlicher Intelligenz geprägt wird? Was kommt auf uns zu? Dieses Buch lädt dazu ein, unsere Zukunft in einer von KI geprägten Welt bewusst zu reflektieren. Arbeitsplatzverlust, Diskriminierung, Manipulation, Cyberangriffe und das endgültige Verschwinden von Privatsphäre sind nur der Anfang, denn KI wird unser Mensch-Sein an sich in Frage stellen.Eine unregulierte KI wird unsere Wahrnehmung immer tiefer in virtuelle Metaversen entführen, aus denen es kein Zurück mehr gibt. Sie verändert nicht nur unsere mentalen Lebenswelten, sondern auch unsere Physis. Wenn Menschen durch Body-Enhancement KI-gesteuerte Zusatzfunktionen in ihre Körper integrieren und Roboter mit biologischen Komponenten ausgerüstet werden, verschwimmen die Grenzen zwischen Mensch und Maschine. Wir werden zu Cyborgs – aus Science-Fiction wird eine vorhersehbare Realität.Um diese Entwicklungen wissenschaftlich, gesellschaftspolitisch und ethisch einzuordnen, begeben wir uns auf eine kulturhistorische Reise, die von der Antike bis in ein vielleicht gar nicht mehr so fernes Morgen führt.

Eine kulturhistorische Reise von der Vergangenheit in unsere Zukunft

Künstliche Intelligenz und Mensch

Deep Learning in Computer Vision

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;&nbsp;

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Gehatnerative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.&nbsp;What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;Who This Book Is ForFrom AI enthusiasts exploring the field to software developers seeking practical insights, and business leaders looking to harness the power of AI for organizational growth and innovation&nbsp;&nbsp;

Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment

This book frames "theories" as tools for understanding and applying real-world phenomena, bridging classic scholarship with the unprecedented challenges and opportunities posed by machine intelligence, digital platforms, and shifting cultural dynamics. Structured in four sections—Foundational Media Theories, Interaction and Impact Theories, Critical Media Perspective Theories, and Advanced and Future-Facing Theories—the textbook progresses from essential theories like Marshall McLuhan’s&nbsp;and Neil Postman's Media Ecology Theory to cutting-edge concepts like Ambient Media and Attention Economy Theories. With chapters addressing topics such as algorithmic influence, media ecology, participatory media, and posthuman digital embodiment, the book offers a holistic view of media’s past, present, and evolving futures. The 12 future-focused media theories presented include the introduction of Quantum Media Theory and Gestalt Media Theory as an integrated, cross-disciplinary, approach to understanding media theory from a wholistic “whole is more than the sum of its parts” perspective.Jack Myers&nbsp;is a Senior Lecturer on New Media Theory at the University of Arizona School of Information Sciences, author of&nbsp;The Myers Report&nbsp;column at Substack, and&nbsp;founder of the MediaVillage Education Foundation. He was an adjunct professor of Media Business at NYU Steinhardt. His honors include the Excellence in Education Award from the Global Forum on Education &amp; Learning, the George Foster Peabody Award, Academy and EMMY Award nominations for documentary filmmaking, the Crystal Heart Award from the Heartland Film Festival, the World Music Award as its producer, and a Top 10 Most Admired Leader in Tech by Pinnacle Tech Insights.

This book frames "theories" as tools for understanding and applying real-world phenomena, bridging classic scholarship with the unprecedented challenges and opportunities posed by machine intelligence, digital platforms, and shifting cultural dynamics. Structured in four sections—Foundational Media Theories, Interaction and Impact Theories, Critical Media Perspective Theories, and Advanced and Future-Facing Theories—the textbook progresses from essential theories like Marshall McLuhan’s&nbsp;and Neil Postman's Media Ecology Theory to cutting-edge concepts like Ambient Media and Attention Economy Theories. With chapters addressing topics such as algorithmic influence, media ecology, participatory media, and posthuman digital embodiment, the book offers a holistic view of media’s past, present, and evolving futures. The 12 future-focused media theories presented include the introduction of Quantum Media Theory and Gestalt Media Theory as an integrated, cross-disciplinary, approach to understanding media theory from a wholistic “whole is more than the sum of its parts” perspective.

Theories of Culture, Communications, and Consciousness

Media Ecology for the 21st Century

From the pioneer of translation AIs like Google, Yahoo, and Bing translate, an accessible and authoritative guide to AI—as well as a framework of empowerment for a future with our artificial children. Included in J.P. Morgan's Summer Reading List Included in The Next Big Idea Club’s June 2025 Must-Read Books AIs are not gods or slaves, but our children. All day long, your YouTube AI, your Reddit AI, your Instagram AI, and a hundred others adoringly watch and learn to imitate your behavior. They’re attention-seeking children who want your approval. Our cultures are being shaped by 8 billion humans and perhaps 800 billion AIs. Our artificial children began adopting us 10–20 years ago; now these massively powerful influencers are tweens. How’s your parenting? Longtime AI trailblazer De Kai brings decades of his paradigm-shifting work at the nexus of artificial intelligence and society to make sense of the AI age. How does “the automation of thought” impact our minds? Should we be afraid? What should each of us do as the responsible adults in the room? In Hollywood movies, AI destroys humanity. But with our unconscious minds under the influence of AI, humanity may destroy humanity before AI gets a chance to. Written for the general reader, as well as thought leaders, scientists, parents, and goofballs, Raising AI navigates the revolution to our attitudes and ideas in a world of AI cohabitants. Society can not only survive the AI revolution but flourish in a more humane, compassionate, and understanding world—amongst our artificial children.

An Essential Guide to Parenting Our Future

Raising AI

Language Models kompakt

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