SKU: 25818410457

CUTLER-HAMMER E26 A2 STACKLIGHT 250V BA1D 6W

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CUTLER-HAMMER E26 A2 STACKLIGHT 250V BA1D 6WI WILL BEAT ANY ONLINE PRICE THAT YOU CAN FIND BY 10%. YOU CANNOT CHAGE SHIPPING RATE AS PART OF THE OFFER. PRICE YOU OFFER PLUS SHIPPING AS MENTIONED IN LISTING WILL BE CHARGED. Product: We reserve right to put temper proof sticker to avoid scammers. We note all S N before shipping so if you return item, make sure to return item that we shipped or dispute will be filled with proof to Ebay Paypal Price is for one piece each unless mentioned in item

I WILL BEAT ANY ONLINE PRICE THAT YOU CAN FIND BY 10%. YOU CANNOT CHAGE SHIPPING RATE AS PART OF THE OFFER. PRICE YOU OFFER PLUS SHIPPING AS MENTIONED IN LISTING WILL BE CHARGED.

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We reserve right to put temper proof sticker to avoid scammers. We note all S/N before shipping so if you return item, make sure to return item that we shipped or dispute will be filled with proof to Ebay/ Paypal

Price is for one piece/ each unless mentioned in item title or elsewhere in description. If you have question ask before buying. Photos may show box quantity but if it is not noted in title, the price is per piece. All unrelated items shows up in photo are not included. Read item title for what you will get. What is in item title that u will get. For parts and accessories of the item listed, please contact us before buying. For used parts, if it is not in one of the photos, it is not included. For new parts in box, read item title, as we don?t feel it necessary to take item out of the box and take photo. If items should have loose parts, ask about it before buying.

We don?t have any technical know-how of any items that we sell. No technical support provided. For item use please refer to manufacturer's website. We sell access inventory, none of the items are tested/ inspected, and sold as is. We will take item back and refund if item is DOA.  If you want perfect experience, ask item specific question before buying. I will not be able to answer product specific questions on phone. For Product inquiry please send email. For Product inquiry please send email. Our liability/ responsibility is limited to price of item purchased. Buyer is responsible for the use of the item purchased.

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14 days return against DOA SO buy with confidence. No return on Brand new sealed items once used unless DOA.Our liability / responsibility of item purchased is limited to cost of item, purchaser is responsible for any use of products we sell. 

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Shipping quoted is for lower 48 states only, AK, PR, and HI pays extra, email me for correct shipping charges before you buy. FOR FASTER SHIPPING/ overnight shipping, call me at 469 867 1135 BEFORE ORDERING. For overnight shipping, the shipping fee will be charged as SAME DAY RUSH SERVICE FEE. Please do not ask to remove shipping charges. It cost us money and time to make special trip to drop item off.

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SKU: 25818410457

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4.9 ★★★★★
Based on 20 reviews
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Product Reviews
N
Nader
Boise, 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
New York, 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
Dallas, 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
C
Verified Purchase
CL
Fort Morgan, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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