SKU: 95893294001
peg perego huddersfield

peg perego huddersfield PegPerego Primo Viaggio Convertible Kinetic (Merino Grey-Made of Merin – SAM & SAB BABY STORE

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Description

peg perego huddersfield PegPerego Primo Viaggio Convertible Kinetic (Merino Grey-Made of Merin – SAM & SAB BABY STORENew level of protection in our Primo Viaggio Convertible Kinetic The Convertible Kinetic includes features like adjustable Side Impact Protection (SIP), Expanded Polystyrene (EPS) and Expanded Polypropylene (EPP) energy absorbing foam, Anti rebound bar, and Kinetic Pods. Recommended for children: Rear Facing 5 to 45 lbs. Forward Facing 22 to 65 lbs. Rear Facing Longer The Convertible Kinetic allows a child to sit rear facing up to 45 pounds. The Anti

New level of protection in our Primo Viaggio Convertible Kinetic

The Convertible Kinetic includes features like adjustable Side Impact Protection (SIP), Expanded Polystyrene (EPS) and Expanded Polypropylene (EPP) energy-absorbing foam, Anti-rebound bar, and Kinetic Pods.

Recommended for children:

Rear Facing - 5 to 45 lbs.

Forward Facing - 22 to 65 lbs.

Rear Facing Longer

The Convertible Kinetic allows a child to sit rear facing up to 45 pounds.The Anti-Rebound Bar Spacer allows for extended rear-facing use by increasing your child’s leg room by 2 inches / 5 cm.


Kinetic Pods

Kinetic pods help to move forces away from your baby in case of a side collision.


Full Coverage Protection

EPS & EPP foams provide increased protection and comfort throughout the shell and headrest.


Anti-Rebound Bar

The Anti-rebound bar protects baby by minimizing forces and reducing rotation in case of front or rear collision. The ARB is integrated and stowable.


Energy Management System

Absorbs crash energy with parts designed to bend during a collision, deflecting energy from the child’s body. A countoured steel back plate minimizes flexing and reduces forward movement upon impact.


Tri-Stage Cushion

System is included for comfort and support of a newborn’s neck and bottom. 


Easy Tight Latch System

Easy tight latch system offers ease of use and installation.


Cup Holder Included

 


Top Tether Hook

Increases stability in forward-facing mode and limits forward movement.


Performance Fabric

Superior quality Fresco Jersey fabric found in head panel and removable cushion is easy to clean, breathable and absorbs moisture, keeping child cool and comfortable.


 
 
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SKU: 95893294001

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4.3 ★★★★★
Based on 30 reviews
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S
Verified Purchase
Scott J. Pearson
Natrona Heights, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
Los Angeles, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Charlottesville, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
Los Angeles, US
★★★★★ 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
S
Verified Purchase
SR
Pawtucket, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024

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