black a line dress for women Classic Black A-line Maxi Dress 14
SKU: 75042461661
black a line dress for women

black a line dress for women Classic Black A-line Maxi Dress 14

Sale price$24.36 Regular price$27.07
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Size: 4

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Description

black a line dress for women Classic Black A-line Maxi Dress 14We focused on what women want to wear and how they want to feel. Reinterpreting English luxury with an American twist through textiles and silhouettes that are grounded in simplicity and ease. Timeless pieces that transcend the seasons in beautiful materials, elegant lengths, and relaxed volume. Elegant layers and prints provide the foundation for women to make endless outfit combinations. Black is a color of dominance and power and exudes luxury and

We focused on what women want to wear and how they want to feel. Reinterpreting English luxury with an American twist through textiles and silhouettes that are grounded in simplicity and ease. Timeless pieces that transcend the seasons in beautiful materials, elegant lengths, and relaxed volume. Elegant layers and prints provide the foundation for women to make endless outfit combinations.  Black is a color of dominance and power and exudes luxury and timelessness. 

Great-fitting with the right amount of give and hold, the Classic Black A-line Maxi Dress has a flattering A-line shape and a hidden back zipper to give a more slimming silhouette and with no pockets for less bulk and easy layering. Long sleeves and floor length, this dress has you covered. Wear it on its own or layer with your favorite topper for a more casual look. In a lightweight, medium stretch fabric, it transitions gracefully from fall to winter. 

  • Classic Black A-line Maxi Dress
  • Mock neck collar
  • Unlined, with no pockets
  • Hidden back zipper
  • Floor length
  • 70% Poly 26% Viscose 4% Spandex
  • Wash cool with delicates. Hang dry. Do not iron. Steam as necessary.
  • Model is 5 ' 9" (175 cm) and is wearing size 2
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    SKU: 75042461661

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    4.6 ★★★★★
    Based on 569 reviews
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    Scott J. Pearson
    Alexandria, 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
    Cuba, 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
    Charlottesville, 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
    New York, 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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