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Description
cybex usa stroller Cybex e-Priam 2 Stroller Deep Black/Rose Gold FrameThe CYBEX e PRIAM 2 stroller uniquely combines the luxurious design and functionality of the PRIAM stroller, with the electronic power of smart technology. The unique uphill and downhill support make ascents and descents as effortless as flat terrain by smartly adapting to the respective surface. Whether cobblestones, sand, snow, or gravel, the e PRIAM is a breeze to maneuver. The innovative one pull harness helps you secure your child in the stroller
The CYBEX e-PRIAM 2 stroller uniquely combines the luxurious design and functionality of the PRIAM stroller, with the electronic power of smart technology. The unique uphill and downhill support make ascents and descents as effortless as flat terrain by smartly adapting to the respective surface. Whether cobblestones, sand, snow, or gravel, the e-PRIAM is a breeze to maneuver. The innovative one-pull harness helps you secure your child in the stroller in seconds, with just one hand. Download the e-PRIAM app to unlock the Rocking feature – set the e-PRIAM to rock back and forth automatically to gently soothe your child.
Specifications
- Smart uphill/downhill support.
- Handlebar sensors detect pushing pressure and adjust the support.
- Helps you power over rough ground for a smooth ride.
- Download the e-PRIAM APP to choose between 3 rocking settings and set the duration to gently soothe your child.
- Unique one-pull harness helps you secure your child in the stroller in seconds, with just one hand.
- One-hand fold into a self-standing position for easy storage.
- Multiple recline positions are easy to adjust with one hand.
- Reversible seat unit for forward-facing or parent-facing views.
- All-wheel suspension ensures a comfortable quiet ride.
- Extendable UPF 50+ Sun Canopy.
- Use from birth with the PRIAM 4/e-PRIAM 2 Lux Carry Cot or any CYBEX infant car seat (both sold separately).
- Integrated electrical handlebar sensors detect strained pushing and adjust support to ease pushing on bumpy or uphill surfaces.
- Installed safety sensors will only take control when hand is detected on the push bar.
- Smart Downhill Assist, integrated sensors in the handlebar detect the pulling pressure on the handle and adjust the support accordingly, providing less strain for the parent.
- 2-year warranty.
What's Included
- Complete stroller
- Rain cover
- Bumper bar
- Cup Holder
- Car seat adapters
- Battery and charger.
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- We offer a 30-day return/exchange service after receiving.
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4.1 ★★★★★
Based on 20 reviews
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Product Reviews
★★★★★ 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.
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Reviewed in the United States on July 2, 2025
★★★★★ 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