SKU: 51164137992

Gucken

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GuckenAls Andreas Herzau am 6. Februar 2024 verstarb, verlor die deutsche Fotografiewelt einen ihrer engagiertesten und inspirierendsten Vertreter. Dabei war er ein Sptberufener, der erst mit 30 Jahren zur Fotografie fand. Begonnen hatte er mit einer Lehre als Schriftsetzer und arbeitete zunchst als Buchhersteller in einem renommierten Buchverlag. Dann folgte ein Wechsel in den Journalismus; fr 'Konkret' und die 'Hamburger Rundschau' schrieb er Berichte und

Als Andreas Herzau am 6. Februar 2024 verstarb, verlor die deutsche Fotografiewelt einen ihrer engagiertesten und inspirierendsten Vertreter. Dabei war er ein Spätberufener, der erst mit 30 Jahren zur Fotografie fand. Begonnen hatte er mit einer Lehre als Schriftsetzer und arbeitete zunächst als Buchhersteller in einem renommierten Buchverlag. Dann folgte ein Wechsel in den Journalismus; für 'Konkret' und die 'Hamburger Rundschau' schrieb er Berichte und Reportagen; in diesem Kontext entdeckte er die Kamera als Arbeitsinstrument - zunächst als Ergänzung zum Text, dann als eigenständiges Erkenntnismedium. Von Anfang an ging es ihm nicht um den sensationellen ¿Schuss¿, sondern darum, mit einer eigenen Bildsprache 'zu zeigen, was ist'. 1992 gehörte er zu den Mitbegründern der Fotografengruppe 'Signum', deren Mitglieder sich als politische Dokumentaristen verstanden und unter hohem persönlichen Risiko aus Kriegs- und Krisengebieten berichteten. Ihr Fotoband 'Flucht' (1997) ist ein bis heute verstörend aktuelles Zeugnis. In der Folge war Herzau für zahlreiche grosse Magazine tätig, darunter für den 'Spiegel', den 'Stern', die 'Zeit' und andere. Sein Interesse ging aber über die unmittelbare Tagesaktualität hinaus, so dass er parallel an umfangreicheren Projekten zu arbeiten begann. Es entstand eine Reihe von Fotobüchern, für die Herzau einen gänzlich neuen Stil entwickelte. Die Bilder sind seitenfüllend und kontrastiv gegeneinander gesetzt, vermeiden alles Erzählerisch-Anekdotische, sondern konfrontieren gezielt mit Disparatem. Optische Störungen werden nicht um des ¿schönen Bildes¿ willen ausgespart, sondern bewusst in Kauf genommen. In ihrer Direktheit sprechen die Aufnahmen eine Wahrhaftigkeit des Hinsehens aus, die das Medium Fotografie überraschend erneuert. In seinen Gesprächen mit Sebastian Lux blickt Andreas Herzau auf die Entwicklungen des Fotojournalismus seit den 1990er Jahren zurück, analysiert die Folgen des Medienwandels auf technischer und wirtschaftlicher Ebene, berichtet vom politischen Druck, dem die optischen Medien immer stärker ausgesetzt sind - bis hin zur Gefahr von ¿Deep Fakes¿ durch die aufkommende KI. Zugleich aber betont er die neue kreative Freiheit, die der Fotografie in einer abgelichteten Welt zugewachsen ist - man muss nur unvoreingenommen um sich gucken.

EAN: 9783038501022
Farbverschnitt: Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen.
Erscheinungsjahr: 2025
Autoren: Herzau, Andreas
Seitenzahl/Blattzahl: 220
Keyword: Fotografie; Gespräch; Reportage; Theorie
Fachschema: Kunst / Theorie, Philosophie, Psychologie, Soziologie~Fotograf - Fotografin~Fotografie / Dokumentarfotografie, Geschichte
Fachkategorie: Kunsttheorie~Fotojournalismus
Länge: 260 mm
Breite: 215 mm
Höhe: 25 mm
Gewicht: 1098 gr
Produktform: Kartoniert
Genre: Geisteswissenschaften/Kunst/Musik
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SKU: 51164137992

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noam barkay
Massapequa, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Lowell, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Phoenix, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025
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Verified Purchase
CL
Pawtucket, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
A
Verified Purchase
Amazon Customer
Omaha, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024

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