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Description
Yamaha Roadstar 1999 - 2007 6" Extended Stretched Out & Down Bags Rear Fender No Cut Outs lidsExtended 6" Stretched Saddlebags "Out & Down", and Rear Fender for the Yamaha Roadstar 1600 from 1999 to 2007 Fiberglass No cut outs with rails lids. This kit will come with a bolt on rail kit to install these bags on using your factory holes. no cutting of your original fender needed, this is a bolt on kit. Warning These bags are not for the faint of heart. Please note: these items require trimming, cutting, filler, sanding will be necessary to get
Extended 6" Stretched Saddlebags "Out & Down", and Rear Fender for the Yamaha Roadstar 1600 from 1999 to 2007 - Fiberglass - No cut outs with rails lids. This kit will come with a bolt on rail kit to install these bags on using your factory holes. no cutting of your original fender needed, this is a bolt on kit. Warning - These bags are not for the faint of heart. Please note: these items require trimming, cutting, filler, sanding will be necessary to get these mocked up - you will also need spacers and washers that are not provided. This kit is made for DIY with experience in body work. Please see pics for installation guidelines. You will need to sand, prep, minor filler, mockup, primer & paint before installing as these are unfinished. All items pictured are included in this listing. These do not include hardware. Stock Harley hardware will fit. Don't buy those cheap abs/plastic units that crack with vibration and break with the smallest mishap, you won't be able to fix them if you lay your bike down. These units are made out of hand laid fiberglass, they are thick and durable and forgiving in case of an accident or incident. The listings is for 1 set only and does not include the bike! Get your bike looking like a million bux with this saddlebag/fender kit! . All Items are made in high quality hand laid fiberglass, these are not mass produced cheap and flimsy units, they are thick and better quality than factory.Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
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4.3 ★★★★★
Based on 93 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.
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.
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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
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