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Description
volkswagen up 2017 t m 2023 9 inch android 15 0 carplay autoradio draadloos carplay android auto 2gb ram 32gb externe microfoon bluetooth wifi bouwjaar 2017 t m 2023Belangrijkste voordelen in n oogopslag Perfecte pasvorm voor Volkswagen Up (2017 2023) sluit naadloos aan, geen aanpassingen nodig Draadloos Apple CarPlay & Android Auto direct verbinden zonder losse kabels Plug & Play installatie in 99% van de gevallen direct aansluiten zonder knip of soldeerwerk Digitale installatiehandleiding inclusief duidelijke instructies en stap voor stap uitleg Compatibel met optionele accessoires zoals een achteruitrijcamera
Belangrijkste voordelen in één oogopslag
- Perfecte pasvorm voor Volkswagen Up (2017-2023) – sluit naadloos aan, geen aanpassingen nodig
- Draadloos Apple CarPlay & Android Auto – direct verbinden zonder losse kabels
- Plug & Play installatie – in 99% van de gevallen direct aansluiten zonder knip- of soldeerwerk
- Digitale installatiehandleiding – inclusief duidelijke instructies en stap-voor-stap uitleg
- Compatibel met optionele accessoires – zoals een achteruitrijcamera en DAB+ antenne
Waarom dit het perfecte systeem voor jou is
Gebruik je vooral Apple CarPlay, Android Auto, navigatie en muziek?
Dan is de standaarduitvoering met 2GB RAM & 32GB opslag alles wat je nodig hebt: snel, stabiel en speciaal geoptimaliseerd voor dagelijks gebruik.
Wil je nóg meer snelheid, vloeiendere prestaties en ruimte voor extra apps?
Kies dan voor de Pro-serie (4GB RAM & 64GB opslag), beschikbaar op de productpagina.
Belangrijkste specificaties
- Standaard: 2GB RAM & 32GB opslag – perfect afgestemd op CarPlay, Android Auto en navigatie
- Pro-serie: 4GB RAM & 64GB opslag – voor wie nog sneller en krachtiger wil werken
- Android 15.0 – nieuwste, snelste en meest stabiele versie
- DSP-audio (digitale geluidsprocessor) met 4 × 85W – krachtig, kraakhelder geluid
- FM & AM radio, DAB+ optioneel (antenne vereist)
- Draadloos & bekabeld CarPlay & Android Auto – verbind je telefoon zonder kabel
- YouTube, Netflix, Spotify en meer via Google Play Store
- WiFi-ontvanger – eenvoudig verbinden met je telefoon-hotspot
- Perfect passend frame – OEM-look, alsof hij er altijd al zat
- AHD-ondersteuning (Advanced High Definition) – haarscherp camerabeeld
Wat is er inbegrepen
- Android autoradio (9 inch)
- Bijpassend inbouwpaneel – perfecte pasvorm in dashboard
- Plug & Play aansluitstekkers
- RCA-kabels, WiFi-antenne, GPS-antenne, USB-kabels
- Bevestigingsmateriaal – schroefjes inbegrepen
- Digitale handleiding per e-mail
Veelgestelde vragen
-
Kan ik mijn originele stuurbediening blijven gebruiken?
Ja, alle originele functies blijven behouden dankzij de meegeleverde CANbus-adapter. -
Kan ik via mijn telefoon navigeren?
Ja, zowel met Apple CarPlay als Android Auto. -
Werkt mijn iPhone ook met deze Android-radio?
Jazeker, Apple-apparaten werken volledig samen met deze radio. -
Blijven parkeersensoren en achteruitrijcamera werken?
Ja, parkeersensoren blijven altijd behouden. Een originele camera kan meestal worden aangesloten (mogelijk verloopstekker nodig). -
Kan ik dit zelf installeren?
Ja, de installatie is eenvoudig Plug & Play. Ook professionele inbouwservice is beschikbaar in Rotterdam of op locatie in NL/BE.
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4.2 ★★★★★
Based on 16 reviews
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Product Reviews
★★★★★ 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
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Reviewed in the United States on December 31, 2025
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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