SKU: 53689205820

MG Premium Hand Weaved Kente Cloth with Fan P14

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Description

MG Premium Hand Weaved Kente Cloth with Fan P141 Shimmering Blue Pattern Color. MG Kente Premium quality Kente Cloth boast of the higher status patterns for the upper class. Ancient meanings for each pattern that still stands today. These gorgeous colors stand out at any event and speaks more than words can say. Don't be fooled by online sellers who used cheaper threads to cut cost for what is a Sacred Cloth which is becoming a normal practice in Ghana. Those who not experts in the cloth may be

1 Shimmering Blue Pattern Color.

MG Kente Premium quality Kente Cloth boast of the higher status patterns for the upper class. Ancient meanings for each pattern that still stands today. These gorgeous colors stand out at any event and speaks more than words can say.

Don't be fooled by online sellers who used cheaper threads to cut cost for what is a Sacred Cloth which is becoming a normal practice in Ghana. Those who not experts in the cloth may be unable to realize what they have are not original threads. These threads come from china and are now being used in the market industry.

Here at MG Kente you'll always get the real thing. Each purchase receives a MG Kente Official shopping bag,  certificate of Authenticity with description and model number for each purchase of our premium line from our headquarters in Wilmington, Delaware in the United States.

Kente comes from the word kenten, which means basket in the Asante dialect of Akan. Akans refer to kente as nwentoma, meaning woven cloth. It is an Akan royal and sacred cloth worn only in times of extreme importance and was the cloth of kings. Over time, the use of kente became more widespread.

Kente cloth is special on many levels. Around the world, the unique patterns and colors are easily identifiable as a representation of West African culture. ... This gives each Kente design its own unique, symbolic value. Kente cloth may symbolize the wearer's status or mark a festive occasion.

Materials Combined Used are-Cotton, Rayon 

It's Common For Females To Use 6 Yards For Sewing Gowns, Dresses, Etc. Males commonly use 8 to 10 Yards and Overly Sized Men can have the Option of 12 Yards. And Children are Typically 4 Yards. Babies and Accessories Typically 2 Yards.

Female are sold in 1-3 Pieces

Male are Sold in 1 Piece 

Made In and ships directly to you from the Ashanti region of Kumasi GHANA 

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SKU: 53689205820

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4.1 ★★★★★
Based on 5 reviews
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Product Reviews
N
Nader
San Leandro, 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
Grantham, 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
Cuba, 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
V
Vineeth Sai
Phoenix, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Louisville, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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