SKU: 40582457936
high low dress

high low dress Black A-Line Tulle High Low Prom Dress, Black Homecoming Dresses US 6 / Black

Sale price$25.25 Regular price$28.05
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Description

high low dress Black A-Line Tulle High Low Prom Dress, Black Homecoming Dresses US 6 / BlackItem Descriptions: Product Code: shww84 Silhouette: A Line Length: High Low Fabric: Tulle, Lace Back Style: Lace Up Built In Bra: Yes Shown Color: Black Custom Size If you require a custom size, please leave your measurements in the message box of the shopping cart. Should you have any questions, please do not hesitate to contact us. Email: sales@shopluu. com Bust: ______ cm inch Waist: ______cm inch Hip: ______cm inch Shoulder to Shoulder :_______ cm

Item Descriptions:

  • Product Code: shww84
  • Silhouette: A-Line
  • Length: High-Low
  • Fabric: Tulle, Lace
  • Back Style: Lace Up
  • Built-In Bra: Yes
  • Shown Color: Black

Custom Size

If you require a custom size, please leave your measurements in the message box of the shopping cart. Should you have any questions, please do not hesitate to contact us. Email: [email protected]

Bust: ______ cm/inch
Waist: ______cm/inch
Hip: ______cm/inch
Shoulder to Shoulder :_______ cm/inch
Shoulder to knee( for knee length dress only):_______ cm/inch
Hollow to floor: ___cm/inch
Height: ___cm/inch

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SKU: 40582457936

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4.1 ★★★★★
Based on 28 reviews
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Product Reviews
J
Verified Purchase
James Gianoglio
Battle Creek, 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
Lexington, 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
Birmingham, 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
K
Verified Purchase
K. Wain
Chelsea, US
★★★★★ 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
K
Verified Purchase
Kevin Barry
West Palm Beach, US
★★★★★ 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

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