SKU: 97673183006
evenflo omni plus litemax

evenflo omni plus litemax Evenflo Omni Plus Modular Travel System with LiteMax Sport Rear-Facing Preemie and Infant Car Seat

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Description

evenflo omni plus litemax Evenflo Omni Plus Modular Travel System with LiteMax Sport Rear-Facing Preemie and Infant Car SeatConvenience + versatility the Evenflo Omni Plus Travel System with LiteMax Infant Car Seat brings together both in one versatile travel system. The LiteMax Infant Car Seat fits kids from 3 to 30 lb (15. 7 to 32 in. tall), with harness covers and removable body pillow. Designed for children weighing up to 50 lb (or 40 in. tall), the Omni Plus modular stroller provides 6 mode flexibility with rear facing or forward facing in infant, carriage and toddler

Convenience + versatility — the Evenflo® Omni™ Plus Travel System with LiteMax™ Infant Car Seat brings together both in one versatile travel system. The LiteMax Infant Car Seat fits kids from 3 to 30 lb (15.7 to 32 in. tall), with harness covers and removable body pillow. Designed for children weighing up to 50 lb (or 40 in. tall), the Omni Plus modular stroller provides 6-mode flexibility with rear-facing or forward-facing in infant, carriage and toddler modes. Converts from toddler mode to lay-flat carriage mode with no tools or extra parts, so babies under 6 months old can stretch out. A high toddler seat keeps your love bug close while creating generous storage for up to 10 lb of essentials below. Large cruiser tires let you roll with ease. Includes a handy parent cup holder with locking tab and accepts our BPA-free child snack tray (sold separately). When your adventure is over, compact, self-standing fold lets you pack up quickly.

At Evenflo, we go above and beyond government standards to create car seats that are safe. The LiteMax Infant Car Seat is rollover tested and temperature tested.

If you need help installing your car seat, our ParentLink® Consumer Care Team offers help online in real time. Get live video support with a certified car seat safety technician to assist with proper vehicle installation, so you can drive with confidence.

Families have trusted Evenflo for more than 100 years for smart, innovative gear designed to make life easier, safer and more comfortable at home and on the go. Let us help you save time and find peace of mind, so you can focus on what matters most: your child.

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SKU: 97673183006

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4.0 ★★★★★
Based on 26 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
New York, 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
Cuba, 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
Lowell, 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
Omaha, 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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