SKU: 92964654412
purple ball dress

purple ball dress Purple Tulle A Line Long Prom Dress Off The Shoulder Evening Dress US12 / Custom Color

Sale price$23.43 Regular price$26.03
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Ships within 48 hours · Estimated delivery Aug 21 - Aug 26

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Description

purple ball dress Purple Tulle A Line Long Prom Dress Off The Shoulder Evening Dress US12 / Custom ColorLook your best in this elegant Purple Tulle A Line Long Prom Dress, featuring an off shoulder, modest shape and shimmering fabric for a dazzling finish. Flattering yet timeless, this dress is perfect for making an unforgettable entrance at your next special event. 1. Color: as picture,custom color If you want dress color to be different color, please contact us. Dress color =______________(you can choose from my color chart) 2. Size: standard size or

Look your best in this elegant Purple Tulle A Line Long Prom Dress, featuring an off-shoulder, modest shape and shimmering fabric for a dazzling finish. Flattering yet timeless, this dress is perfect for making an unforgettable entrance at your next special event.

1. Color:as picture,custom color

If you want dress color to be different color, please contact us.
Dress color =______________(you can choose from my color chart)

2. Size: standard size or custom size, if dress is custom made, we need to size as following

bust______ cm/inch
waist______cm/inch
hip:_______cm/inch
Shoulder to floor(without Shoes):_______cm/inch
Shoes Height:_______cm/inch(which you will wear to match this dress)
Nature Height(From top head to toe):_______cm/inch
shoulder to shoulder :_______cm/inch (measured from back of shoulder)
shoulder to waist :_______cm/inch (measured from middle of shoulder to natural waist)

If the dress has sleeves, you can give us more following measurements:

Arms eye:_______cm/inch
Sleeves Length:_______cm/inch
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Exchange/Return Notes
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SKU: 92964654412

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4.0 ★★★★★
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D
Verified Purchase
David Escobar
Natrona Heights, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
Verified Purchase
Filipe Fernandes
Birmingham, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
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Reviewed in the United States on June 10, 2025
E
Verified Purchase
Eddwin Paz
Louisville, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
B
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B. Black
Alexandria, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
J
Joe Faith
Omaha, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025

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