SKU: 67795283715

ASUS ZenScreen Go MB16AHP 39,62 cm (15,6 Zoll) tragbarer USB-Typ-C-Monitor Full HD Micro-HDMI

Sale price$144.27 Regular price$160.30
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Description

ASUS ZenScreen Go MB16AHP 39,62 cm (15,6 Zoll) tragbarer USB-Typ-C-Monitor Full HD Micro-HDMIFull HD, integrierter Akku, USB Typ C, Micro HDMI, Flicker Free und Blue Light Filter Technologie, schwarz Erweitern Sie Ihr Blickfeld. Erleben Sie die Freiheit. Der ZenScreen Go MB16AHP ist mit seinem integrierten 7800mAh Akku dafr ausgelegt, Ihre Produktivitt zu untersttzen egal wo Sie sich befinden. Er wiegt lediglich 0,86kg und ist 9mm dnn. Die USB C und Micro HDMI Konnektivitt ermglicht es, Inhalte von den verschiedensten tragbaren Gerten

Full HD, integrierter Akku, USB Typ-C, Micro-HDMI, Flicker-Free- und Blue-Light-Filter-Technologie, schwarz

Erweitern Sie Ihr Blickfeld. Erleben Sie die Freiheit.

Der ZenScreen Go MB16AHP ist mit seinem integrierten 7800mAh-Akku dafür ausgelegt, Ihre Produktivität zu unterstützen – egal wo Sie sich befinden. Er wiegt lediglich 0,86kg und ist 9mm dünn. Die USB-C- und Micro-HDMI-Konnektivität ermöglicht es, Inhalte von den verschiedensten tragbaren Geräten wiederzugeben, damit Ihnen bei der Arbeit und im Entertainment-Bereich genug Platz auf dem Bildschirm zur Verfügung steht.

Entwickelt für den Einsatz unterwegs

Genießen Sie den Komfort eines vollwertigen tragbaren Geräts mit integriertem 7.800mAh Akku, der für bis zu 4 Stunden Betriebsdauer ausreicht. Unterstützt die QC3.0-Schnellladetechnologie mit bis zu doppelter Ladegeschwindigkeit im Vergleich zu herkömmlichen Ladegeräten. Mit einem Druck auf die Hotkey-Taste kann der Ladezustand des Akkus angezeigt werden.

USB-C- und Micro-HDMI-Konnektivität

Mit seiner USB-C- und Micro-HDMI-Konnektivität ist der ZenScreen Go MB16AHP in der Lage, Inhalte von einem breiten Spektrum an Geräten wiederzugeben, darunter Notebooks, Smartphones, Spielkonsolen und Kameras, damit Ihnen bei der Arbeit und beim Spielen genug Platz auf dem Bildschirm zur Verfügung steht. Das reversible USB-Design kann beidseitig verwendet werden und ermöglicht eine schnelle, frustfreie Verbindung mit jedem Gerät.

Automatische Bildschirmausrichtung

Mit der DisplayWidget-Software erkennt der ASUS ZenScreenGo MB16AHP die Bildschirm-Ausrichtung automatisch und wechselt zwischen Hoch- und Querformat. Der Landschaftsmodus eignet sich perfekt für Präsentationen und Excel-Tabellen, der Portrait-Modus dagegen ist besonders nützlich zum Anzeigen von Dokumenten, Büchern oder Webseiten.

Extrem weiter Betrachtungswinkel

Der ZenScreen Go MB16AHP ist mit einem Full-HD-Bildschirm für eine beeindruckende Bilddarstellung in 1920 x 1080 ausgestattet. Er nutzt die IPS-Technologie, um Ihnen mehr Flexibilität beim Erweitern des Bildschirms zu geben, damit sie die hervorragenden Farb- und Kontrastwerte auch aus extremen Blickwinkeln betrachten können.

ASUS Flicker-Free-Technologie

Müde und angestrengte Augen gehören der Vergangenheit an. Der ZenScreen MB16AHP unterstützt die ASUS Flicker-Free-Technologie, welche Bildschirmflimmern reduziert und somit ein besonders komfortables Seherlebnis bietet. Dadurch werden Ermüdungserscheinungen und andere schädliche Effekte verhindert, die besonders durch stundenlanges Betrachten von Videos auf dem Bildschirm entstehen können.

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SKU: 67795283715

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4.6 ★★★★★
Based on 19 reviews
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Product Reviews
N
Nader
Draper, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Pawtucket, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Battle Creek, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Pawtucket, 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!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Chelsea, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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