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Description
burgundy shoes dress Lethato Classic Cap toe OxfordHAND PAINTED Hand painted full grain Italian Leather Uppers, museum calf finish Golden Color Metal Aglets Shoelace Tips, which gives Luxury and Fashionable look HANDCRAFTED Mens Captoe style Oxfords and 100% Handmade Dress Shoes Leather lining & hand stitched leather sole with rubber patch on the sole for better grip anti skid CONSTRUCTION Blake Stitched construction for comfort & durability. The outer sole is directly stitched to the insole. Blake
- HAND-PAINTED - Hand-painted full-grain Italian Leather Uppers, museum calf finish
- Golden Color Metal Aglets Shoelace Tips, which gives Luxury and Fashionable look
- HANDCRAFTED - Men’s Captoe style Oxfords and 100% Handmade Dress Shoes
- Leather lining & hand-stitched leather sole with rubber patch on the sole for better grip/anti-skid
- CONSTRUCTION - Blake Stitched construction for comfort & durability. The outer sole is directly stitched to the insole. Blake Stitched soles are more flexible and can be re-sole.
-
CUSTOM FIT & COMFORT - Cushioned leather Insole for soft & pleasant touch feel and perfect fitting. Comfortable for constant travelers and for people who wear shoes for long hours
DELIVERY IN 5-7 WORKING DAYS
If a classic style statement is what you wish to make, these Captoe Oxfords are just right for you. But don’t confuse them with a boring pair of grand-dad shoes. They come in a quirky burgundy shade. Carrying the typical closed-lace low-heel design of the best man Oxfords and a perforated cap toe, these shoes check all the tick marks in terms of high-quality (Italian full-grain leather), and durability (Blake Stitch construction).
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4.5 ★★★★★
Based on 771 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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.
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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
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