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Description
Synergy 8802-01 Heat Treated Chromoly Tie RodGAP offers the Synergy 8802 01 Heat Treated Chromoly Tie Rod to enhance the steering in your 2018 2023 Jeep Wrangler JL or 2020 2023 Jeep Gladiator JT. This tie rod has a new design and components specific to the Jeep platform. Designed as a direct bolt in replacement for the OEM tie rod for an immediate upgrade in steering feel, rigidity, and strength. No wheel size constraints! Can be installed on a stock JL JT with OEM wheels and tires. This tie
GAP offers the Synergy 8802-01 Heat Treated Chromoly Tie Rod to enhance the steering in your 2018-2023 Jeep Wrangler JL or 2020-2023 Jeep Gladiator JT. This tie rod has a new design and components specific to the Jeep platform. Designed as a direct bolt-in replacement for the OEM tie rod for an immediate upgrade in steering feel, rigidity, and strength. No wheel size constraints! Can be installed on a stock JL / JT with OEM wheels and tires. This tie rod is built from heat-treated chromoly for superior strength. Single Plane Tie Rod End stops unwanted Tie Rod Flop. You will not find a more impressive tie rod on the market!Benefits:
Compatible with stock wheels and tires.
Tie Rod is fully adjustable to fit all JL Wrangler models with different axle widths.
Heat-treated chromoly construction improves tie rod stiffness, strength, and steering feel, and eliminates any chance of bending this tie rod. We guarantee this tie rod will not bend on the toughest of trails.
Offers a more direct connection to the road/trail compared to stock; no more bent tie rods and constantly having to align your vehicle.
New Synergy Heavy Duty Metal on Metal Tie Rod Ends are stronger and more durable than stock and include grease fittings/replaceable dust boots for ease of maintenance. Synergy 4119 High-Performance Grease is recommended.
Single plane tie rod end used to eliminate unwanted tie rod flop and prevent the steering dead spot encountered with hydro assist setups. Simplifies installation and only allows the necessary degree of movement of the bar.
Double Adjuster assembly allows adjustment of tie rod length without removing it from the vehicle.
Tie Rod has an outer diameter (OD) of 1.50 inches and must be used with our 8807-03 steering stabilizer mount kit to retain a steering stabilizer.
Features:
- Tie Rod bolts right into the factory mounts with no additional wheel requirements.
- No factory tie rod components need to be reused.
- Includes Synergy HD Metal on Metal Tie Rod Ends with a Single Plane version used on one side to completely eliminate Tie Rod Flop.
- Tie Rod is CNC formed from 1.50 inch x .188 wall heat treated chromoly tubing.
- Abrasion-resistant powder coat finish for maximum durability and corrosion resistance.
- Synergy Double Adjuster Sleeve allows adjustment of tie rod length without removing it from the vehicle.
- Both ends of the bar use pinch bolts instead of jam nuts to simplify installation and adjustment.
- 100% bolt-on components assures an easy, trouble-free installation with the use of basic hand tools.
Note:
Must use our High Mount Steering Stabilizer kit, 8807-03.
Steering Stabilizer Track Bar mount bolt and steering clamp are also available separately.
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4.9 ★★★★★
Based on 5 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
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!
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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
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