SKU: 44742272118

Cuisinart CPT-180 Metal Classic 4-Slice toaster

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Description

Cuisinart CPT-180 Metal Classic 4-Slice toasterColor: Metallic Red Style: 4 Slice New Pattern Name: Toaster Cuisinart Metal Classic Toaster. Cuisinart's Metal Classic Toaster has a smooth brushed stainless housing with polished chrome and black accents. Its custom controls let you defrost and toast bagels and bread just the way you want them Press any of the four buttons, bagels, reheat, defrost and cancel, to fit your toasting needs. The browning control sets the desired toast color from light to

Color:Metallic Red |  Style:4 Slice-New |  Pattern Name:Toaster

Cuisinart Metal Classic Toaster. Cuisinart's Metal Classic Toaster has a smooth brushed stainless housing with polished chrome and black accents. Its custom controls let you defrost and toast bagels and bread -- just the way you want them Press any of the four buttons, bagels, reheat, defrost and cancel, to fit your toasting needs. The browning control sets the desired toast color from light to dark, with six browning levels. Product Features Smooth brushed stainless housing with polished chrome and black accents Custom control: 6-setting browning dials, dual reheat, defrost and bagel buttons with LED indicators 1-1/2-inch wide toasting slots Extra-lift carriage lever Slide-out crumb tray Convenient cord wrap Instruction book Limited 3-year warranty Toasting Tips Toasting is a combination of cooking and drying of the bread. Therefore, differences in moisture level from one bread to another can result in varying toasting times. For slightly dry bread, use a lower setting than you normally would. For very fresh bread or whole wheat bread, use a higher setting than normal. Breads with very uneven surfaces (such as English muffins) will require a higher toast setting. Thickly cut pieces of bread (including bagels) will take longer to toast, sometimes significantly longer, since more moisture must be evaporated from the bread before toasting can occur. Very thick pieces may require two cycles. Cleaning and Maintenance Always allow the toaster to cool completely before cleaning. Do not use abrasive cleansers. Simply wipe the exterior with a clean damp cloth and dry thoroughly. Apply any cleansing agent to a cloth, not to the toaster, before cleaning. To remove crumbs, slide out the crumb tray and discard crumbs. Wipe clean and replace. Never operate the toaster without the crumb tray in place. To remove any pieces of bread remaining in the toaster, turn the toaster upside down and gently shake. Never insert any hard or sharp instruments into the slot, as this could damage the toaster and cause a safety hazard. Never wrap the cord around the outside of the toaster. Use the cord storage cleats on the underside of the toaster. Product Dimensions The Cuisinart 2-Slice Metal Classic Toaster measures approximately 10.75" x 7.13" x 7.13". The 4-Slice Metal Classic Toaster measures approximately 11.88" x 11.06" x 7.00". Warranty The Cuisinart Metal Classic Toaster has a limited 3-year warranty. . Features: Dual control panels make this two toasters in one|Smooth brushed stainless housing with polished chrome and black accents|Custom control: Two 6-setting browning dials dual reheat defrost and bagel buttons with LED indicators|1 1⁄2" - wide toasting slots|Extra-lift carriage lever|Slide-out crumb tray|Convenient cord wrap|Instruction book|Limited 3-year warranty|BPA Free

  • Dual control panels make this two toasters in one with smooth brushed stainless housing
  • Custom control: 6-setting browning dials, dual reheat, defrost and bagel buttons with LED indicators
  • 1-1/2 inch - wide toasting slots, extra-lift carriage lever, slide-out crumb tray
  • Instruction book included
  • 3-year limited warranty
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SKU: 44742272118

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4.4 ★★★★★
Based on 21 reviews
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N
Nader
Lowell, 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
West Palm Beach, 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
Port Orchard, 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
Louisville, 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
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CL
Louisville, 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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