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Description
dimensions of bob double stroller BOB Revolution Flex 3.0 Duallie Jogging Stroller – Baby GrandWith the two seat BOB Revolution Flex 3. 0 Duallie jogging stroller, you can take both kids on any outingwhether prepping for a 10K or heading to the zoo. Mountain bike style suspension keeps you running smoothly from sidewalk to hiking trail, and ten storage pockets make room for more gear. Bring on the bumpy paths and rocky roads. Our signature mountain bike style suspension has shocks mounted by the seating area so your little adventurers will feel
With the two-seat BOB Revolution Flex 3.0 Duallie jogging stroller, you can take both kids on any outing—whether prepping for a 10K or heading to the zoo. Mountain-bike style suspension keeps you running smoothly from sidewalk to hiking trail, and ten storage pockets make room for more gear. Bring on the bumpy paths and rocky roads. Our signature mountain-bike style suspension has shocks mounted by the seating area so your little adventurers will feel less bumps along the way and ride happier, longer.
- Fully-upright seats allow your children to see the world on all your adventures and recline to near flat with the push of a button.
- Ultra-padded compression seats with ventilation provide all-day comfort.
- Peek & Chat windows with magnetic closures let you check on and chat with your children while on the go.
- Extra-large UPF 50+ canopies shield your children from sun and rain.
- Reflective accents on the canopies and cargo basket keep you visible and safe.
- Swivel-locking front wheel swivels for easy maneuverability or locks for stability when jogging on- or off-road.
- Two-seat “Duallie” design transports 2 children with a 50 lb weight capacity for each seat, yet is slim enough to fit through standard doorways.
- Includes tracking adjustment knob to keep your stroller running straight when front wheel is in the locked position.
- Travel system ready when paired with the BOB Duallie Infant Car Seat Adapters for most major brand car seats. (Requires the BOB Duallie Infant Car Seat Adapter - sold separately) Nuna, Clek, Cybex, Maxi-Cosi, Chicco, UppaBaby, Britax, Graco, Peg Perego
- Five-point harnesses, with no-rethread design keep your children secure and allow for easy height adjustments.
- Easy 2-step fold for convenient transportation and storage.
- Easy-remove rear wheels allow you to store the stroller in tight trunk spaces.
- Flip-flop-friendly parking brake secures both rear wheels in the stopped position with a single step.
- Product Weight: 33.1 lbs
- Folded Length Wheels Off (in): 33L x 31W x 12H
- Pneumatic Tire Size: Rear 16" (all terrain), front 12" (all terrain)
- Handlebar Height (in): 43
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4.1 ★★★★★
Based on 18 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