SKU: 51184143220

Bosch USB Power Set 12V 2x 3,0Ah Akku + Ladegerät + GAA 12V Akku USB Ladegerät Aufsatz Adapter

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Description

Bosch USB Power Set 12V 2x 3,0Ah Akku + Ladegerät + GAA 12V Akku USB Ladegerät Aufsatz AdapterLieferumfang: 1x Bosch GAA 12V Professional Akku USB Ladegert Aufsatz Adapter fr 12 V 10,8 V Akkus 2x Bosch GBA 12 V 3,0 Ah 3000 mAh Li Ion Stab Einschub Akku 1x Bosch GAL 1230 CV Professional Schnell Ladegert Produktbeschreibung: Der Bosch GAA 12V USB Akkuadapter ermglicht das Laden verschiedenster Elektrogerte mit USB Anschluss und berzeugt durch seine kompakte, sehr leichte und handliche Form. Durch einen Metallclip zum Befestigen an Grteln oder

Lieferumfang:

- 1x Bosch GAA 12V Professional Akku USB Ladegerät Aufsatz Adapter für 12 V / 10,8 V Akkus
- 2x Bosch GBA 12 V 3,0 Ah / 3000 mAh Li-Ion Stab Einschub Akku
- 1x Bosch GAL 1230 CV Professional Schnell-Ladegerät 

Produktbeschreibung:

Der Bosch GAA 12V USB Akkuadapter ermöglicht das Laden verschiedenster Elektrogeräte mit USB Anschluss und überzeugt durch seine kompakte, sehr leichte und handliche Form. Durch einen Metallclip zum Befestigen an Gürteln oder Hosen wird der Adapter zum alltagstauglichen Begleiter. Der Akkuaufsatz wird mit 12 Volt beziehungsweise 10,8 Volt Akkus der Firma Bosch betrieben. Das Gerät dient zur Stromversorgung für Mobiltelefone und viele andere USB-geladene Geräte, welche über die integrierte USB-Schnittstelle bedient werden. Zugleich kann der Adapter zur Stromversorgung der Bosch GHJ 12+18V Heizjacke über die Niedervolt-Schnittstelle benutzt werden. Ein integrierter USB-Taster beugt dabei der Tiefenentladung von Akkus vor und garantiert Sicherheit in der Benutzung. Der Bosch GBA 12 V 3,0 Ah zeichnet sich durch sein sehr geringes Gewicht und seine dennoch hohe Leistungsfähigkeit aus. Trotz der hohen Kapazität ist der Akku zudem sehr kompakt. Das flexible Bosch Power System garantiert ein universelles Einsetzen dieses Akkus in alle 12,0 V sowie 10,8 V Geräte von Bosch.

Technische Daten:

Bosch GAA 12V Professional Akku USB Ladegerät Aufsatz Adapter für 12 V / 10,8 V Akkus
Herstellernummer: 061880004J
Akkuspannung: 12 V / 10,8 V
Gewicht: 70 g

Bosch GBA 12 V 3,0 Ah / 3000 mAh Li-Ion Stab Einschub Akku
Herstellernummer: 1600A00X79
Akkuspannung: 12 Volt
Kapazität: 3000 mAh
Gewicht: 185 g
Zellentyp: Lithium-Ionen

Bosch GAL 1230 CV Professional Schnell-Ladegerät 
Akkuspannung: 12,0 V
Aufladezeit: ca. 30 - 45 Min.
Gewicht: 500 g
Farbe: schwarz


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SKU: 51184143220

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4.7 ★★★★★
Based on 16 reviews
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Product Reviews
J
Jiewen Wang
Chelsea, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Whiting, 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
Whiting, 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
Bozeman, 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

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