Pay in installments of $3.75 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 27 - Sep 1
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Llama Pattern Infant Gift Baby Teething BibHo Ho Ho! Merry Christmas, happy holidays, all new moms and dads! Are you getting ready to celebrate Christmas with your baby for the first time? Our graphic baby bibs are made of breathable lightweight ring spun cotton that can ensure comfort and that are easy to wash and dry. Also, our baby burp bibs come with super easy one snap closers that make it easy for you to put on and off your little ones. Not only that our infant bibs are all pre washed
Ho Ho Ho! Merry Christmas, happy holidays, all new moms and dads! Are you getting ready to celebrate Christmas with your baby for the first time? Our graphic baby bibs are made of breathable lightweight ring spun cotton that can ensure comfort and that are easy to wash and dry. Also, our baby burp bibs come with super easy one-snap closers that make it easy for you to put on and off your little ones. Not only that our infant bibs are all pre-washed preventing from any significant shrinking after the first wash. We offer hundreds of unique, cute, and funny designs for various themes and special occasions, and all our designs are created, printed and shipped from California USA. This wide range of designs give you perfect and easy gift options not only for your babies but also for your nieces, nephews, and friends at any time and for any special occasion. Get your Christmas baby shirt at 365 In Love/365 Printing Inc. Make your unforgettable Christmas memories with 365 In Love/365 Printing Inc and make your baby's Christmas outfits lit while others only have their trees lit. It's jingle time~- MATERIAL - Made of 100% ring spun cotton, high quality, enzyme washed lightweight material | 7.5" x 12.5"| Easy Snap-on Velcro | 1 bib per order
- SOFT FABRIC - Made of 100% ring spun cotton, high quality, enzyme washed lightweight material | Eco-friendly water base printing ink ensuring safety and quality
- UNIQUE DESIGNS - Cute, funny, and laughable designs offering a wide range of unique baby boy and baby girl gift options for all special occasions | Due to different computer monitors/calibrations, colors may vary slightly from photos
- BABY GIFTS - Perfect baby birthday gift, baby shower gifts, baby announcement gifts, and new parents gifts | Wash inside-out in cold water & Natural-air drying is recommended
- BEWARE OF COUNTERFEITS - 365 In Love is the brand of 365 Printing Inc. 365 Printing Inc products are designed/printed/decorated in the US and ship only from the US. We NEVER authorize any third party to sell our products in the US and any other countries. Please make sure you buy our AUTHENTIC products from 365 In Love/365 Printing Inc | Please let us know if you buy counterfeit products with bad quality or different from the descriptions
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.3 ★★★★★
Based on 7 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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