uppababy mesa v2 infant car seat and base Mesa V2 - Jake - Charcoal
SKU: 35063591028
uppababy mesa v2 infant car seat and base

uppababy mesa v2 infant car seat and base Mesa V2 - Jake - Charcoal

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Description

uppababy mesa v2 infant car seat and base Mesa V2 - Jake - CharcoalThe UPPAbaby MESA V2 infant car seat covers babies from 4 to 30 lbs with the SmartSecure system that has made the MESA series one of the most consistently recommended infant car seats for installation confidence. The red to green visual indicator on the base confirms correct installation without requiring a wiggle test or belt tension estimation, which eliminates the most common source of installation error across all infant car seat categories. Auto

The UPPAbaby MESA V2 infant car seat covers babies from 4 to 30 lbs with the SmartSecure system that has made the MESA series one of the most consistently recommended infant car seats for installation confidence. The red-to-green visual indicator on the base confirms correct installation without requiring a wiggle test or belt tension estimation, which eliminates the most common source of installation error across all infant car seat categories. Auto-retracting LATCH stores the connectors automatically and the adjustable base foot accommodates different vehicle seat angles to level the seat correctly. The carrier releases from the base with a single button press and attaches directly to the Vista V3 and Cruz V3 strollers without adapters.

The reinforced adjustable headrest uses EPP energy-absorbing foam to provide side impact protection at the head level, which is the most vulnerable point in a side-impact collision for a rear-facing infant. The fourth anti-rebound handle position reduces rebound forces during a frontal crash by creating an additional contact point between the carrier and the base. The robust infant insert provides correct positioning for babies from 4 to 11 lbs during the newborn stage. European belt routing allows secure baseless installation using a three-point seatbelt for rideshare and travel use. The large UPF 25+ hideaway canopy extends for sun protection and tucks away neatly when not needed. All fabrics are fire retardant free, removable, and machine washable.

If you are shopping for the current MESA model, ANB Baby also carries the UPPAbaby MESA V3 which adds an Anti-Rebound+ Panel, an upgraded load leg base, and DualTech fire retardant free fabric and foam. The MESA V3 is the current production model and the recommended choice for new purchases. The full UPPAbaby collection is available at ANB Baby with free shipping on all orders over $45.

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SKU: 35063591028

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4.4 ★★★★★
Based on 1022 reviews
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S
Verified Purchase
Scott J. Pearson
Waukegan, 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
Waukegan, 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
Cuba, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
San Leandro, 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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