kinderfahrrad 14 zoll toys r us XJD 14 inch Kids Girls Bike for Ages 3-5 Years Child, Toddler Bike wit –  XJD BABY
SKU: 57362721731
kinderfahrrad 14 zoll toys r us

kinderfahrrad 14 zoll toys r us XJD 14 inch Kids Girls Bike for Ages 3-5 Years Child, Toddler Bike wit – XJD BABY

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Description

kinderfahrrad 14 zoll toys r us XJD 14 inch Kids Girls Bike for Ages 3-5 Years Child, Toddler Bike wit – XJD BABYXJD kids bikes are designed for maximum enjoyment. They have adjustable saddle & stem height for a better fit and low gearing for easy pedallingFeatures: Comes with basket, bike doll seatHigh tensile Frame for long time riding. 85% assembled body, but easy to install the bike. Full Cover Chain Guard to avoid hurt and dirtyRear coaster brakes for sure stopping powerRemovable Training wheels to support balanceSpecifications: Available Size: 14 Inches14

XJD kids bikes are designed for maximum enjoyment. They have adjustable saddle & stem height for a better fit and low gearing for easy pedalling

Features:
Comes with basket, bike doll seat
High-tensile Frame for long time riding.
85% assembled body, but easy to install the bike.
Full Cover Chain Guard to avoid hurt and dirty
Rear coaster brakes for sure stopping power
Removable Training wheels to support balance

Specifications:
Available Size: ‎14 Inches
14-inch bike fits girls ages 3-5 (35-47 inches);
Color:Blue/Pink/Purple
【SPECIALLY FOR CHILDREN】 Short-reach aluminium brake levers, lower stand-over height, protective stem pad and removable training wheels make it fun and safe for your little who first plant seeds of riding. The height of the soft seat and steady handlebar can be quickly adjusted, thus, the XJDcan grow with your little.
【SAFE & DURABLE CONSIDERED】 Coaster brake makes your little stop and control the XJDeasily, and enclosed chain guard prevents him/her from getting hurt. Durable hi-ten steel frame is sufficiently reliable as well as Captain America's shield, backed by a LIFETIME warranty on the frame.
【LOVELY ATTACKS ALLOWED】 Retro exquisite soft handlebar grips, color-matched reflectors, mudguards, bells and your little compose the best painting roll of riding. The extremely lovely wicker basket allows your little to take toys or snacks. Meanwhile, DIY lovely stickers inspire his/her cells of aesthetics.
【EASY INSTALLING CONSIDERED】 The bike is 85% assembled and comes with the basic assembly tools, only a few pars need to be added to the bike. The whole process is as easy as boiling a bowl of pasta and decorating it with your sauce and condiment.
【PLEASE CHECK THE SIZE】 Glerc is committed to offering good Post-Sale service. CHOOSING the right size for your little is the key to whether he/she can explore the colorful world smoothly by riding. What we recommend you can find in the picture display cabinet or the chart at the bottom. Don't forget to choose from multiple colors to get his/her perfect one. If you have any problem, always contact us for help.
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SKU: 57362721731

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4.4 ★★★★★
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Scott J. Pearson
Chelsea, 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
Omaha, US
★★★★★ 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
J
Verified Purchase
James Gianoglio
Lexington, 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
Dallas, 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
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SR
Louisville, 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.
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Reviewed in the United States on August 7, 2024

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