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Harley Davidson 6" Extended Saddlebags 8.8 Speaker Lids With Cut Outs6" Extended Stretched Saddlebags, and 8. 8 speaker Lids for the Harley Davidson Touring, Road King, Street Glide, Ultra Glide Electra Glide Fiberglass With Cut Outs This is a 100% fiberglass unit made here in the USA. This is not a cheap Chinese imitation unit, these are the thick, heavy duty units made by us and that will survive through the worst of the weathers ( now i would not recommend putting it through a tornado or hurricane) and thousands of
6" Extended Stretched Saddlebags, and 8.8 speaker Lids for the Harley Davidson Touring, Road King, Street Glide, Ultra Glide Electra Glide - Fiberglass - With Cut Outs This is a 100% fiberglass unit made here in the USA. This is not a cheap Chinese imitation unit, these are the thick, heavy duty units made by us and that will survive through the worst of the weathers ( now i would not recommend putting it through a tornado or hurricane) and thousands of miles later on your Harley. Get the good stuff here, made by American Harley riders, we love our Harley's and we know you do too, we know the best and only want the best, so should you. This is a brand new, non painted in gel coat, never mounted extended/stretched with cut outs, saddlebags and both speaker lids. You will need to sand, prep, minor filler, mockup, primer & paint before installing as these are unfinished. All items pictured are included in this listing. These do not include hardware. Stock Harley hardware will fit. Don't buy those cheap abs/plastic units that crack with vibration and break with the smallest mishap, you won't be able to fix them if you lay your bike down. These units are made out of hand laid fiberglass, they are thick and durable and forgiving in case of an accident or incident. The listings is for 1 set only and does not include the bike! Get your Harley looking like a million bux with this saddlebag/fender kit! . All Items are made in high quality hand laid fiberglass, these are not mass produced cheap and flimsy units, they are thick and better quality than factory. Fits: Touring Bikes FLH/FLT Series Electra-Glide Road King Ultra-Classic Street Glide and others FL: 4-Speed Dresser FLH: 4-Speed Electra Glide FLHX: Street Glide FLHRS: Road King Custom FLHPI: Road King police model FLHR: Road King FLHRCI: Road King Classic FLHS: Electra Glide Sport FLHT: Electra Glide Standard FLHTC: Electra Glide Classic FLHTK: Limited FLHTCSE: Screamin Eagle Electra Glide FLHTPI: Electra glide police model FLHTCUI: Ultra Classic Electra Glide FLHTCUSE: Screamin Eagle Ultra Classic FLHXXX: Street Glide Trike FLT: Rubber Mount Dresser FLTC: Rubber Mount Dresser Classic FLTCU: Rubber Mount Dresser Classic Ultra FLHTCUTG: Tri Glide FLTR: Road Glide FLTRI: Road Glide EFI FLTRX: Road Glide Custom FLTRSEI: Screamin Eagle Road GlideShipping Notes
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4.4 ★★★★★
Based on 9 reviews
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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
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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
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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.
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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!
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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.
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Reviewed in the United States on November 14, 2025