SKU: 40754213790

Sophia's Flannel Pajama and Fuzzy Slippers for 18'' Dolls, Pink/Purple/White

$17.99 $19.99
Save 10%
No.2 Bestseller on 2pierres.com >

Pay in installments of $5.00 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Oct 31 - Nov 5

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Sophia's Flannel Pajama and Fuzzy Slippers for 18'' Dolls, Pink/Purple/WhiteINCLUDES: This cozy 3 piece pajama set features a pink, gray and purple plaid pajama top with purple piping and white buttons, matching plaid pants and pink, fluffy slippers PERFECT FOR KIDS: Kids can prepare their doll friends for bedtime in this easy to dress outfit. MADE FOR 18" DOLLS: Perfect for Sophia's dolls, American Girl dolls, My Life As dolls, Our Generation dolls, plush friends, and more. (Dolls not included.) MAKE BEDTIME FUN: Dressing

  • INCLUDES: This cozy 3-piece pajama set features a pink, gray and purple plaid pajama top with purple piping and white buttons, matching plaid pants and pink, fluffy slippers
  • PERFECT FOR KIDS: Kids can prepare their doll friends for bedtime in this easy-to-dress outfit.
  • MADE FOR 18" DOLLS: Perfect for Sophia's dolls, American Girl dolls, My Life As dolls, Our Generation dolls, plush friends, and more. (Dolls not included.)
  • MAKE BEDTIME FUN: Dressing their doll friend in a cute pajama set can be an activity kids look forward to when it comes to bedtime.
  • PERFECT FOR SLEEPOVERS: Bring your child's doll to their next sleepover, and don't forget to pack their favorite 3 piece PJ set!

Does your little one sleep next to their favorite doll? Now, the doll friend can be as comfy and cozy as your child in bed with the Sophia's by Teamson Kids flannel pajama and slippers pajama set for 18'' dolls. Cozy flannel meets a fiery hot pink color in this set, and includes a long sleeve top with purple piping and white buttons plus matching plaid pants and fluffy pink slippers. Make bedtime fun by allowing your child to dress their doll in their pajamas and snuggle their toy as they drift off to sleep, or have them pack this complete outfit for sleepovers with their perfect companion! Teamson is a global lifestyle home designs brand bringing joy into every home through beautiful, quality pieces made for stylishly comfortable everyday living. Our Teamson Kids brands give flight to fun, discovery and learning through beautifully crafted, safe, and trend-right faux furniture pieces and toys for kids with a spirit of curiosity and adventure. Sophia's by Teamson Kids brings to life the magic friendship between a kid and dolls through beautifully made dolls, doll faux furniture, and doll accessories.

Product

  • Dimensions: 4x7x18 in
  • Weight: 0.2 lb(s)

Shipping Item 1

  • Dimensions: 10x8x2 in
  • Weight: 0.4 lb(s)
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 40754213790

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.1 ★★★★★
Based on 21 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
O
Om S
Lexington, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Los Angeles, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Fort Morgan, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Chelsea, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
San Leandro, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025

recommand products

Bust Your Brass Cool Blonde Conditioner
15.00
Advanced Climate Control Featherlight Styling Cream
14.30
DIAMOND PIRANHA 811-037C (25/PK)
77.50
DIAMOND PIRANHA 392-016F (25/PK)
63.35
Chiffon Styling Mousse
20.90