SKU: 50820228052

Avery 959001 L7160 Quick Peel Address Label With Sure Feed Laser 21up White Pack 100

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Description

Avery 959001 L7160 Quick Peel Address Label With Sure Feed Laser 21up White Pack 100DescriptionSpecificationsShipping Sure Feed technology is designed for a reliable feed through your printers, saving time and minimising wastage Quick Peel technology allows for quicker and easier detachment of labels from backing sheet Customise your labels with our free and easy to use template software; Avery Design and Print available at averyproducts. com. au print Special adhesive withstands the high heat of laser printers FSC certified labels

Sure Feed technology is designed for a reliable feed through your printers, saving time and minimising wastage

Quick Peel technology allows for quicker and easier detachment of labels from backing sheet

Customise your labels with our free and easy-to-use template software; Avery Design and Print - available at averyproducts.com.au/print

Special adhesive withstands the high heat of laser printers

FSC certified labels made with paper from well-managed forests

  • Dimensions: 63.5 x 38.1mm
  • Contents: 2100 Labels / 100 Sheets
  • Printer Type: Laser
  • Adhesive: Permanent
  • Colour: White
  • Material: Paper
  • Shape: Rectangle
  • Software Code: L7160
  • OEM: 959001
  • SKU: AV00579
    • Shipping Notes
    • Free Standard Shipping on $100+ Orders to the USA.
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    Exchange/Return Notes
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    • Final sale items are not eligible for returns or exchanges.
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    SKU: 50820228052

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    4.1 ★★★★★
    Based on 1639 reviews
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    Product Reviews
    T
    Tans
    Draper, US
    ★★★★★ 4
    Really good content on Rag and Agents
    Format: Paperback
    The book is a plethora of AI implementations put together this covers everything required for an Ai engineer, llm developer and enterprise user to understand the terms are simple and implementation is even better, you should definitely check it out
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on July 29, 2025
    R
    Verified Purchase
    RAKESH MITTAL
    Phoenix, US
    ★★★★★ 5
    Good coverage of the subject.
    Format: Paperback
    Good.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on September 19, 2025
    T
    Verified Purchase
    Ting
    New York, US
    ★★★★★ 1
    Not worth your time!
    Format: Paperback
    The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on May 28, 2026
    S
    Verified Purchase
    Sai
    Bozeman, US
    ★★★★★ 2
    Pages were torn
    Format: Paperback, Format: Paperback
    Pages were sent torn
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on January 20, 2026
    K
    Kirk D. Borne
    Omaha, US
    ★★★★★ 5
    Conquer AI Agent complexity with this comprehensive guidebook
    Format: Kindle
    This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on October 24, 2025

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