SKU: 21684275525

Putco Optic 360 - High Power LED Fog Lamp Bulbs - 9006

$106.19 $117.99
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Description

Putco Optic 360 - High Power LED Fog Lamp Bulbs - 9006When foul weather rolls in, your visibility can drop, making travel unnecessarily dangerous. It takes a powerful set of beams to pierce through dense fog, and the old school halogens just dont have the intensity to handle the job. Retire those dull bulbs and replace them with a cutting edge set of Putco Optic 360 LED Fog Lamp Bulbs. These bulbs are manufactured with the latest generation of High Power 30 watt CREE LEDs, producing 8,00 lumens per kit

When foul weather rolls in, your visibility can drop, making travel unnecessarily dangerous. It takes a powerful set of beams to pierce through dense fog, and the old-school halogens just don’t have the intensity to handle the job. Retire those dull bulbs and replace them with a cutting-edge set of Putco Optic 360° LED Fog Lamp Bulbs. These bulbs are manufactured with the latest generation of High Power 30 watt CREE LEDs, producing 8,00 lumens per kit with a cool white temperature of 6,000K.  Unlike other more economical brands, these are constructed with a billet aluminum tower allowing for proper cooling of the LEDs.  These also feature an Optic convex lens to cast the light beam in a 360° pattern which improves peripheral visibility in inclement weather / heavy fog.

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1997-1998 Acura CL Base
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1999 Acura NSX Alex Zanardi Edition
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1989-1995,2006-2007 BMW 525i Base
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1998 Buick Regal 25th Anniversary Edition
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2000 Buick Regal GSE
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2000 Buick Regal LSE
1996 Buick Regal Olympic Gold Edition
2002-2007 Buick Rendezvous CX
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1995-1999 Buick Riviera Base
1988-1993 Buick Riviera Luxury
1988-1989 Buick Riviera T-Type
1992 Cadillac Commercial Chassis Base
1992 Cadillac Commercial Chassis Brougham
1995-2005 Cadillac DeVille Base
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1996-1999 Cadillac DeVille d'Elegance
2000-2005 Cadillac DeVille DHS
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2004-2005 Cadillac DeVille Protection Series
1992-1997 Cadillac Eldorado Base
1998-2002 Cadillac Eldorado ESC
1995-2002 Cadillac Eldorado ETC
1993 Cadillac Eldorado Sport
1992-1994 Cadillac Eldorado Touring
2000,2002 Cadillac Escalade Base
1990-1992 Cadillac Fleetwood 60 Special
1990-1996 Cadillac Fleetwood Base
1993-1996 Cadillac Fleetwood Brougham
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1992-1993 Cadillac Seville Base
1994-2004 Cadillac Seville SLS
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1995-2005 Chevrolet Astro Base
1995 Chevrolet Astro CL
1995 Chevrolet Astro CS
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2002-2004 Chevrolet Avalanche 2500 Base
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1990 Chevrolet Beretta Indianapolis 500 Pace Car
1994-1996 Chevrolet Beretta Z26
1995-1999,2005 Chevrolet Blazer Base
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2004 Chevrolet Colorado Base
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SKU: 21684275525

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4.8 ★★★★★
Based on 6 reviews
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Product Reviews
J
Jiewen Wang
Port Orchard, 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
Los Angeles, 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
Dallas, 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
Fort Morgan, 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
Boise, 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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