SKU: 30173423377

CURT 12032 Class 2 Trailer Hitch, 1-1/4 Receiver, Select Chrysler Concorde

Sale price$115.65 Regular price$128.50
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Description

CURT 12032 Class 2 Trailer Hitch, 1-1/4 Receiver, Select Chrysler ConcordeWhatever the next checkpoint is on your adventure whether it's getting your bike on the trail before sunrise or making it to the campground before dark CURT class 2 hitches let you Bring It with confidence. These receiver hitches are made to handle most light duty towing applications and offer a custom fit for your vehicle. Typically used on full size cars, crossovers, compact SUVs, minivans or even compact pickup trucks, a CURT class 2 trailer hitch

Whatever the next checkpoint is on your adventure -- whether it's getting your bike on the trail before sunrise or making it to the campground before dark -- CURT class 2 hitches let you Bring It with confidence. These receiver hitches are made to handle most light-duty towing applications and offer a custom fit for your vehicle. Typically used on full-size cars, crossovers, compact SUVs, minivans or even compact pickup trucks, a CURT class 2 trailer hitch complements the design of smaller vehicles. This particular class 2 hitch is made to be a custom hitch for certain years of the Chrysler Concorde (to verify vehicle compatibility, see application info). It offers a weight carrying capacity of 3,500 lbs. GTW and 350 lbs. TW. Class 2 trailer hitches can typically be used to tow a variety of lightweight trailers, such as a small utility trailer, small fishing boat trailer or popup camper (NOTE: Never exceed the lowest weight capacity of any towing component). They are also perfect for adding cargo space to your vehicle with a bike rack or cargo carrier. This class 2 hitch features a 1-1/4" receiver tube to accept a ball mount shank or other hitch-mounted accessory. For safety, it is tested in accordance with SAE J684. A custom trailer hitch design requires extra care, and as such, CURT class 2 hitches are engineered using real vehicles and hands-on research. We use high-strength steel, robotic welding and rigorous testing to produce hitches that are built to fit your lifestyle. To ensure that each hitch will be a reliable extension of your vehicle, we also finish our hitches in a co-curing of liquid A-coat and black powder coat, giving them long-lasting rust and wear resistance.

Additional Attributes:

  • GTIN: 612314013470
  • Item Height - XA: 9.250
  • Box Width in Inches - XA: 9
  • Retail Length - XA: 42.000
  • Shipping Weight - XA: 37.000
  • Warranty: Limited Lifetime Warranty (One-Year Finish, One-Year Parts)
  • Item Class - XA: MFH
  • Class ID: 2
  • Receiver Tube Size: 1-1/4 IN
  • Main Body Shape: Square
  • Item Width - XA: 15.830
  • Weight Carrying Capacity (WC): 3,500 LB
  • Box Length in Inches - XA: 41
  • Box Height in Inches - XA: 19
  • Finish - XA: GLOSS BLACK POWDER COAT
  • Tongue Weight (TW): 350 LB
  • Retail Width - XA: 21.000
  • Product Weight - XA: 32.000
  • Retail Height - XA: 10.000
  • Rate Class - XA: 70.0
  • Tariff 301 - XA: No
  • Parcel Allowed - XA: Yes
  • Item Length - XA: 39.550

Packaging:

  • Quantity of Each: 1
  • Package UOM: EA
  • Dimension: 42.000 x 21.000 x 10.000 inches

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SKU: 30173423377

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4.5 ★★★★★
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J
Jiewen Wang
Birmingham, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Natrona Heights, 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
Bozeman, 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
Phoenix, 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
Bozeman, 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

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