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- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 13 - Jul 18
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Description
2011-2018 1500 BIG Claw Disc Brake Rotors Rear 2142009Fits 2006 22 Dodge Ram1500 2 4wd (Incl. 19 22 Classic Body) Features: Larger Than Stock Rotor for Increased Brake Torque and Reduced Stopping Distance Cross Drilled & Slotted to Allow an Escape Route for the Dust and Gasses Produced During Braking for a Consistent Pedal Feel Features 1 Piece, Purpose Cast Rotor with Increased Mass in Friction Area for Better Heat Absorption Directionally Vaned Rotor Acts Like a Centrifugal Pump to Maximize Air Flow
Fits 2006-22 Dodge/Ram1500 2/4wd (Incl. 19-22 Classic Body)
Features:
- Larger Than Stock Rotor for Increased Brake Torque and Reduced Stopping Distance
- Cross-Drilled & Slotted to Allow an Escape Route for the Dust and Gasses Produced During Braking for a Consistent Pedal Feel
- Features 1-Piece, Purpose-Cast Rotor with Increased Mass in Friction Area for Better Heat Absorption
- Directionally Vaned Rotor Acts Like a Centrifugal Pump to Maximize Air Flow for Better Heat Dissipation and Cooling
- Direct Bolt-on System, No Bleeding of the Brakes Required
- Includes OE Caliper Relocation Bracket and Hardware to Accommodate Larger Diameter Rotor
- Slot, Drilled & Zinc Plated Finish Provides a Brilliant Visual Impact Behind Large Open Wheels
Specs:
| ABS Tone Ring Included | No |
|---|---|
| Axle | Rear |
| Brand | Baer Brakes |
| Center Hole Diameter | 3.095IN |
| Construction | One Piece |
| Discard Thickness | 19.46MM |
| Export Description | Brake Components |
| Grade Type | Performance |
| Mounting Bolt Hole Circle Diameter | 139.7MM |
| Nominal Thickness | .866IN |
| Outside Diameter | 15.000IN |
| Overall Height | 72.1MM |
| Prop 65 - Long Label | WARNING: This product can expose you to chemicals including Toluene Diisocyanate, and Nickel which are known to the State of California to cause cancer. For more information, visit www.P65Warnings.ca.gov |
| Solid Or Vented Type Rotor | Vented |
| Stud/Lug Hole Circle Diameter | 5x139.7MM |
| Stud/Lug Hole Quantity | 5 |
| Surface Type | Slotted X Drilled |
| Title | BIG Claw Disc Brake Rotors Rear |
Application:
| Year | Make | Model | Submodel |
|---|---|---|---|
| 2011-2018 | Ram | 1500 | |
| 2011-2018 | Ram | 1500 | |
| 2019-2024 | Ram | 1500 Classic | |
| 2019-2024 | Ram | 1500 Classic | |
| 2006-2010 | Dodge | Ram 1500 | |
| 2006-2010 | Dodge | Ram 1500 |
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4.8 ★★★★★
Based on 2298 reviews
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Product Reviews
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods.
And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 17, 2026
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