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Description
Jaylec - LED Indicator Jumbo Insert Lamp 9-33 Volts with Reflector 190X122X35mm500 Jumbo Series LED Rear Direction Indicator Lamp 9 33 Volt Retrofit upgrades with older Jumbo style lamps with a similar base design Amber Illumination 56 x High Intensity White LED's Faceted Reflectors with Amber Polycarbonate pattern free Lens and inbuilt Retro Reflectors Black ABS Plastic Housing with mounting screws included Surface Mount low mounting depth for easy installation Pre wired 200mm Lead Fully encapsulated circuitry Sealed against
500 Jumbo Series LED Rear Direction Indicator Lamp 9 - 33 Volt
Retrofit upgrades with older Jumbo style lamps with a similar base design
Amber Illumination
56 x High Intensity White LED's
Faceted Reflectors with Amber Polycarbonate pattern free Lens and inbuilt Retro Reflectors
Black ABS Plastic Housing with mounting screws included
Surface Mount- low mounting depth for easy installation
Pre-wired 200mm Lead
Fully encapsulated circuitry
Sealed against Dust and Moisture
ADR 6/00 2A Rear Indicator Lamp specifications approved- CRN 28133
ADR 47/00 Reflector specifications approved- CRN 28134
Refer to ADR 13/00 for mounting instructions
IP67 Rating
Box Qty: 1
2 Year Warranty
| Specifications | |
| Colour | Amber |
| Type | LED |
| Shape | Rectangular |
| Voltage | Multivolt |
| Mount | Surface |
| Width (mm) | 190 |
| Height (mm) | 122 |
| Depth (mm) | 35 |
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4.1 ★★★★★
Based on 17 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
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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.
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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.
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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.
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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.
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Reviewed in the United States on January 17, 2026