Scott's of London Sandringham Dog Chesterfield Brown Faux Leather
SKU: 83434178417

Scott's of London Sandringham Dog Chesterfield Brown Faux Leather

$229.95 $255.50
Save 10%
No.2 Bestseller on ultrafibras.com.mx >

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 6 - Jul 11

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Scott's of London Sandringham Dog Chesterfield Brown Faux LeatherThese stunning Sandringham Dog Sofa Chesterfields in chestnut brown faux leather come with your choice of a matching chestnut brown faux leather or checked fabric premium fill cushion (medium hard support). A luxury cushion fill (soft medium support) is also available at an extra cost. Please select your cushion fill and fabric choice in the menu and choose the size that corresponds with the size of bed you are ordering. For example if you are

These stunning Sandringham Dog Sofa Chesterfields in chestnut brown faux leather come with your choice of a matching chestnut brown faux leather or checked fabric premium fill cushion (medium-hard support). A luxury cushion fill (soft-medium support) is also available at an extra cost.

Please select your cushion fill and fabric choice in the menu and choose the size that corresponds with the size of bed you are ordering. For example if you are ordering a medium bed, please choose either a medium premium fill or medium luxury fill cushion, medium checked fabric cover etc.

All fabric covers are removebale and machine washable. Faux leather covers are removable but hand clean only.

Sizes:

Toy - Internal W45 x D35 x H25cm; External W65 x D55 x H25cm

Small - Internal W60 x D45 x H30cm; External W80 x D65 x H37cm

Medium - Internal W75 x D55 x H30cm; External W95 x D75 x H30cm

Large - Internal W100 x D70 x H30cm; External W120 x D90 x H30cm

Recess Buttons:

As standard, these dog chesterfields come without recess buttons. Please select if you would like to add the buttons in the menu and choose the size that corresponds with the size of bed you are ordering. For example if you are ordering a medium bed, please choose add recess buttons to medium bed.


These luxury dog beds and dog sofas are handmade here in the UK using the same high quality materials & techniques used to make bespoke furniture for clients around the world. The designer dog sofas can be fully customised in a stunning range of faux & real leather, plus crushed velvet finishes. All the fabrics are chosen with pets in mind and are hard wearing, but at the same time soft and comfortable, like your own furniture! Why splash out on a new bed every couple of years when they can have their very own sofa for life.

IMPORTANT NOTE:

RETURNS/EXCHANGES ON ALL SCOTT'S OF LONDON BEDS ARE NOT ACCEPTED UNLESS THE ITEM ARRIVES FAULTY. THIS IS BECAUSE EACH CHESTERFIELD DOG BED IS MANUFACTURED TO ORDER ONCE YOU PLACE YOUR ORDER AND THEREFORE BESPOKE.

WE DO NOT WARRANTY ANY DAMAGE CAUSED BY PETS OR THEIR OWNERS - ONLY MANUFACTURING ERRORS ARE DEEMED FAULTY.

PLEASE DOUBLE CHECK YOUR MEASUREMENTS AND MAKE SURE YOU ORDER THE CORRECT SIZE.

ALL SCOTT'S OF LONDON DOG BEDS ARE EXCLUDED FROM OUR FREE UK DELIVERY OFFER.

Made by Scott's of London.

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: 83434178417

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.6 ★★★★★
Based on 586 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
O
Om S
Pawtucket, 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
Alexandria, 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
Draper, 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
West Palm Beach, 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
Grantham, 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

MAXIM INTEGRATED PRODUCTS MAX3004EUP+ Voltage Level Translator, 8 Input, 20 ns, 1.65 V to 5.5 V, TSSOP-20
599.13
FANTASY FIGHT 18 DVD
39.00
Matt On The Mat
29.95
Dayton Round Motor Run Capacitor,40 Microfarad Rating,440VAC Voltage - 2MEH5
22.35
Ethan's Adventure SV10: Destined Rivals #236/182
49.99