folding bike pedals Folding Pedals Double Side Foldable Pedals 9/16 Universal Pedals – SAVA Carbon Bike
SKU: 62563953462
folding bike pedals

folding bike pedals Folding Pedals Double Side Foldable Pedals 9/16 Universal Pedals – SAVA Carbon Bike

$25.05 $27.83
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Description

folding bike pedals Folding Pedals Double Side Foldable Pedals 9/16 Universal Pedals – SAVA Carbon BikeDurable and Sturdy: Strong and durable aluminum alloy for composite body, which is solid and rust proof. Fully sealed bearing bicycle pedals prevent water and dust accumulation on the spindle, ensure the best tread and simplify maintenance. One click folding design: The pedal is 180 degree bidirectional folding design, flexibly designed, making them easy to store and transport when not in use. They are ideal for cyclists who need to store their bike

❤Durable and Sturdy:Strong and durable aluminum alloy for composite body, which is solid and rust-proof. Fully sealed bearing bicycle pedals prevent water and dust accumulation on the spindle, ensure the best tread and simplify maintenance.

❤One-click folding design: The pedal is 180 degree bidirectional folding design, flexibly designed, making them easy to store and transport when not in use. They are ideal for cyclists who need to store their bike in tight spaces or for those who frequently travel with their bike.

❤ Night reflection plate: Both sides of the pedal are equipped with a reflective strip. Side reflective strips improve safety in the dark.


❤Anti-skid nail: Anti-skid nails on each side provide more secure on the pedals and hold your feet in place. Even if they are covered with a thick layer of mud after a muddy ride, you don't worry your feet slipping off the pedals


❤ 4 bearing axles: The chromoly steel axles consist of 4 sealed bearings.

❤Easy to Install, L is used for the left pedal, R is used for the right pedal,Universal Standard 9/16 inch UNIVERSAL BICYCLE PEDALS suitable for Mountain Bike, Folding Bike, Road Bicycle, Fixed Gear, BMX, MTB, Cruiser, Cyclocross Bike,etc.

❤ Versatile Use: Foldable bike pedals can be used for a variety of cycling activities, including road cycling, mountain biking, commuting, and touring. They are also suitable for use in different weather conditions, and can be easily cleaned and maintained.

Specifications:

Size: Universal 9/16

Weight: about 384g

Color: Black, Red, Silver

Features: Foldable, Durable, Stainless

Suitable for: Folding Bike, road bike, mountain bike and other bikes.

Packing list: Pedals*1 pair

Model: Kootu aluminum pedals
Material: Aluminum
Size: Universal standard, 9/16'' screw
Suitable for: Folding bike, road bike, mountain bike, BMX, commuting bike and so on.
Features: Foldable, anti-slip, durable, full aluminum.


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SKU: 62563953462

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4.6 ★★★★★
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Product Reviews
N
Nader
Chelsea, 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
Omaha, 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
V
Vineeth Sai
Dallas, 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
Charlottesville, 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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