brown slip on dress shoes Kurt Monkstrap Brown Antique
SKU: 18241635911
brown slip on dress shoes

brown slip on dress shoes Kurt Monkstrap Brown Antique

$25.25 $28.06
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Description

brown slip on dress shoes Kurt Monkstrap Brown AntiqueMonkstrap Italian leather dress shoes in Brown Antique. The Monkstrap Kurt Brown Antique is made from premium quality 100% calfskin leather with an adjustable double buckle closures at ankle. All Ace Marks shoes have a durable blake flex construction with leather soles and shiny finish. The model delivers smart style when worn with cuffed tailored pants or casual jeans for a look that will turn heads. The Monkstrap Kurt Brown Antique has a rounded toe

Monkstrap Italian leather dress shoes in Brown Antique. The Monkstrap Kurt Brown Antique is made from premium quality 100% calfskin leather with an adjustable double buckle closures at ankle. All Ace Marks shoes have a durable blake flex construction with leather soles and shiny finish. The model delivers smart style when worn with cuffed tailored pants or casual jeans for a look that will turn heads. The Monkstrap Kurt Brown Antique has a rounded toe designs, minimal heal and silver monk strap detail. Customer purchases are eligible for Ace Marks' Buyback program and are entitled to free shipping to the United States.

  • Monk Strap dress shoe with double strap buckle
  • Classic Brown leather monk straps
  • Soft breathable calfskin leather
  • Blake stitched leather insole and lining
  • Comfortable slip-on design
  • Elegant sleek classic monk straps
  • Hand-crafted in Italy
  • Italian made monk strap dress shoes

As a premium supplier of fine Italian dress shoes for men, Ace Marks is committed to customer satisfaction. We are the only luxury brand that provides a Buyback guarantee on all sold footwear. When you make a selection from our online catalog you are given the option to post back your old Ace Marks and receive a $50 credit towards the purchase of a new full-priced pair. Social engagement is important to us and as a partner of Career Gear, a leading national organization helping men in need, we donate used shoes to help men get back on their feet and re-enter the workforce. All orders in the USA are subject to free shipping.

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  • 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: 18241635911

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4.2 ★★★★★
Based on 2256 reviews
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S
Verified Purchase
Scott J. Pearson
Carnegie, US
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
Whiting, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
New York, US
★★★★★ 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
M
Verified Purchase
Matt B
Bozeman, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Pawtucket, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024

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