white nurses dresses Hartford Women's Classic Healthcare Dress
SKU: 77946869582
white nurses dresses

white nurses dresses Hartford Women's Classic Healthcare Dress

Sale price$26.85 Regular price$29.83
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Description

white nurses dresses Hartford Women's Classic Healthcare DressRecommended for all professionals in the healthcare industry, the Hartford Healthcare Dress is comfortable, smart and flattering. An excellent option if youre looking for a practical and professional looking uniform, the Hartford is a mid length dress with short sleeves and princess seams. Its available in a wide range of attractive colours including Purple, Sky Blue and Teal. The ideal uniform for nurses, carers and other healthcare professionals,

Recommended for all professionals in the healthcare industry, the Hartford Healthcare Dress is comfortable, smart and flattering. An excellent option if you’re looking for a practical and professional looking uniform, the Hartford is a mid-length dress with short sleeves and princess seams. It’s available in a wide range of attractive colours including Purple, Sky Blue and Teal.

The ideal uniform for nurses, carers and other healthcare professionals, this classic design features a round collar and concealed front zip fastening. Your comfort has been carefully considered in the design of our Hartford dress; it’s made of high-quality poly cotton fabric that is durable and breathable. The material is easy to care for, suitable for industrial laundry and has a composition of 65% Polyester and 35% Cotton. This uniform is a practical choice, too, with two handy breast pockets and two lower pockets. The left breast pocket has waterproof lining, for protection against pen leakages, and the lower right pocket features a useful key loop. Suitable for every body shape, this dress is available in three different length options. 

  • Available in sizes 6 - 26
  • Comes in 9 different colour ways
  • Suitable for industrial laundry
  • Concealed zip fastening with top stud
  • Two breast pockets and two lower pockets
  • Material composition: 65% Polyester, 35% Cotton
  • 3 length options: Short 100cm, Regular 106cm, Tall 112cm

Product Code: NCLD

Colour Options: White/Yellow DNCLD/WYT, White/Eau De Nil DNCLD/WEDNT, White/Sky DNCLD/WST

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SKU: 77946869582

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Verified Purchase
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
Pawtucket, 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
Los Angeles, 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
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Matt B
Dallas, 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.
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Reviewed in the United States on June 25, 2024
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SR
Chelsea, 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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