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Description
cybex convertible car seat Cybex Callisto G 360 Select Rotating All in One Convertible Car SeatSpecifications: Age Range: from newborn up to approx. 10 years Child Height: max 57" Child Weight: from 4 lbs. up to 120 lbs. Group: All In One Convertible Rotating Car Seat GREENGUARD Gold Certified Fire Retardant Chemical Free Fabric 37* Safer In A Crash* The Callisto G 360 Select is engineered for safety from day one through the booster years. Featuring our SafetyAssure Protection System, its 37% safer in a crash* with a reinforced steel frame,
Specifications:
- Age Range: from newborn up to approx.10 years
- Child Height: max 57"
- Child Weight: from 4 lbs. up to 120 lbs.
- Group: All-In-One Convertible Rotating Car Seat
- GREENGUARD Gold Certified
- Fire Retardant Chemical Free Fabric
37* Safer In A Crash*
The Callisto G 360 Select is engineered for safety from day one through the booster years. Featuring our SafetyAssure Protection System, it’s 37% safer in a crash* – with a reinforced steel frame, Anti-Rebound Base with SecureFix360 Tether, and Linear Side-Impact Protection.
Effortlessly rotate the seat 360° in any recline position for smooth ins and outs, and enjoy the convenience of our SafeLock™ One-Time Installation system, designed to secure the seat in seconds.
Accommodating children from 4 to 65 lbs. in harness mode and up to 120 lbs. as a booster, the Callisto G 360 Select is built to grow with your child and protect every mile of the journey.
The 360° rotating function allows parents to easily switch between rear-facing, forward-facing, and entry positions with a single motion.
- 360° rotation: simplifies getting your child in and out of the car.
- Rotating car seat convenience: no need to twist or strain to buckle.
- Multi-stage infant insert ensures proper fit for newborns.
- Grows with your child: one seat from infancy to school age.
The Callisto G 360 adapts across three stages—rear-facing, forward-facing, and booster.
- Rear-facing mode: from 4 lb up to 40 lb (ideal for infants and toddlers).
- Forward-facing harness mode: 22–65 lb.
- Booster mode: up to 120 lb, with max height of 57 in (145 cm).
- Multi-stage infant insert supports newborns for correct posture.
- Adjustable headrest and recline grow with your child.
Cybex integrates advanced technology like Linear Side Impact Protection (L.S.P.), a steel frame, and the SafetyAssure Protection System to meet strict FMVSS standards.
- Linear Side Impact Protection (L.S.P.): helps absorb and distribute forces in a side collision.
- SafetyAssure Protection System: added reinforcement for impact safety.
- Steel frame construction: durability and strength in crashes.
- Five-point harness & chest clip: secure restraint in harness mode.
- SafeLock one-time installation: ensures a tight, stable install from the start.
- FMVSS compliance: tested to Federal Motor Vehicle Safety Standards.
Care Instructions:
- Infant Insert: Hand Wash Only. Drip Dry. Do Not Iron.
- Seat Cover: Machine wash fabric covers separately in cold water, delicate cycle. Do Not Bleach. Drip Dry.
- Two integrated removable cupholders: Dishwasher safe
Compatible with:
- Callisto G 360 Sun Canopy (Sold Separately)
Comparison G vs All in One Callisto/ This seat does not include the magnetic side strap holders, no sensor safe chest clip or Canopy.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.8 ★★★★★
Based on 15 reviews
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Product Reviews
★★★★★ 5
A wonderful primer for those discovering the amazing world of generative AI
Format: Paperback, Format: Paperback
Somewhere in the past year, ChatGPT has gone from "cool, interesting, amusing" to a massively valuable work assistant capable of writing Python scripts, analysing data, and doing lots, lots, more. The key to this? The rapid evolution of OpenAI's GPT models and making my first forays into prompt engineering.
If I thought I was getting good, though, this book took me reminded me that I'm just scratching the surface. Halfway through the first chapter I was already furiously scribbling notes in the margins for what I could do better with my prompt writing and by the end of the text I felt like I had gotten a very good grounding - not just in GPTs specifically but in the bigger picture of how these hugely powerful tools were trained and came to maturity.
I imagine that few will argue with my assertion that there is lots of hyperbole and "noise" in the AI space right now which, as ever, makes it hard to pick out the signal from the noise. Which is precisely why I sought out an O'Reilly title and I'm very glad that I did.
Thorough, excellent, and I hope that this edition will be the first of many. As this rapidly maturing field scales and matures I think that prompt engineering will be an essential discipline to master. Pick up this text to get a good foothold on things.
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Reviewed in the United States on August 3, 2024
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms.
It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools.
As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place.
As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
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Reviewed in the United States on December 13, 2025
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
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Reviewed in the United States on June 25, 2024
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
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Reviewed in the United States on June 25, 2024