graduation dresses images Aline Burgundy Long Prom Dress, Off Shoulder Burgundy Graduation Dress
SKU: 52444263235
graduation dresses images

graduation dresses images Aline Burgundy Long Prom Dress, Off Shoulder Burgundy Graduation Dress

Sale price$19.62 Regular price$21.80
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Size: 4

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Description

graduation dresses images Aline Burgundy Long Prom Dress, Off Shoulder Burgundy Graduation DressThis dress is Made To Order. Whether you choose a standard size or custom measurements, our tailors craft each dress to order. The total time to receive your order is around 20 25 days. Please feel free to contact us if you have any questions, thank you! If you need rush order service ,Please click on: RUSH MY ORDER Custom Size: For custom order, we need the following information in the order notes when you check out : bust: ______ cm inchwaist:

This dress is Made-To-Order. Whether you choose a standard size or custom measurements, our tailors craft each dress to order. The total time to receive your order is around 20-25 days. Please feel free to contact us if you have any questions, thank you!
If you need rush order service ,Please click on: RUSH MY ORDER

Custom Size:
For custom order, we need the following information in the order notes when you check out :
bust: ______ cm/inch
waist: ______ cm/inch
hips: _______cm/inch
shoulder to shoulder : _______ cm/inch (measured from back of shoulder)
shoulder to waist : _______ cm/inch (measured from middle of shoulder over nipple to natural waist)
shoulder to hem with shoes on: _______ cm/inch (measured from middle of shoulder over nipple to end of skirt)
armhole __________ cm/inch (end of arm) only used for one shoulder or off shoulder dress.

Item Descriptions:

Product Code: DE162
Silhouette: A-Line
Neckline: Off-the-Shoulder
Length: Floor-Length
Fabric: Tulle
Back Style: Zipper
Built-In Bra: Yes
Shown Color: Burgundy

    Any questions about the item, feel free to Contact Us. E-mail:[email protected]


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    SKU: 52444263235

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    4.8 ★★★★★
    Based on 306 reviews
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    Verified Purchase
    Scott J. Pearson
    Pawtucket, 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
    Birmingham, 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
    Bozeman, 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
    Carnegie, 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
    Lake Worth, 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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