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Description
Willa Organic Cotton Active Mini DressA perfect mini style length active dress with built in shorts and contrast trim. Offered in two great colors: Black White & White Black FABRIC 95% Certified Organic Cotton 5% Bio based Elastane Super soft and durable knitted jersey FIT Built in shorts Pull on styling Rounded neckline Versatile and flattering Back neck button closure Perfect mini dress length Sleeveless, cut in shoulders Contrast trim at neck and arm openings Modeled in size Small
A perfect mini-style length active dress with built in shorts and contrast trim. Offered in two great colors: Black/White & White/Black
FABRIC
- 95% Certified Organic Cotton / 5% Bio-based Elastane
- Super soft and durable knitted jersey
FIT
- Built-in shorts
- Pull-on styling
- Rounded neckline
- Versatile and flattering
- Back neck button closure
- Perfect mini dress length
- Sleeveless, cut-in shoulders
- Contrast trim at neck and arm openings
- Modeled in size Small
- Masha's Measurements: Height 5'9.5"/176cm Waist 26"/66cm Hip 36.5”/92cm Bust 32.5"/82cm
- Size Chart
CARE
- Machine wash in cold water with like colors. Tumble dry low; low iron. Do not dry clean or bleach. Do not wash with towels.
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4.0 ★★★★★
Based on 19 reviews
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Product Reviews
★★★★★ 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
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
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Reviewed in the United States on January 17, 2026
★★★★★ 5
Necessary book to actually get value from AI tools
Format: Kindle
If you don't know how to prompt AI models correctly, you're missing out on substantially better results. This book has literally everything I could have asked for, it's an awesome resource.
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Reviewed in the United States on June 21, 2024