SKU: 43887868141
womens hot pink party dress

womens hot pink party dress Hot Pink Fitted Mermaid Party One Shoulder Modest Long Women Evening P – bridalsew

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Description

womens hot pink party dress Hot Pink Fitted Mermaid Party One Shoulder Modest Long Women Evening P – bridalsewHot Pink Fitted Mermaid Party One Shoulder Modest Long Women Evening Prom Dresses PD767 Description 1, Material: 30D chiffon, elastic silk like satin. 2, Color: picture color or custom color ( if you couldn't make sure of the color, you can order fabric swatch ). 3, Size: standard size choose size from the size chart, if you want a custom size, we need to size as below: Please confirm the size according to our Measurement Guide. Bust______ cm inch

Hot Pink Fitted Mermaid Party One Shoulder Modest Long Women Evening Prom Dresses PD767

Description

1, Material: 30D chiffon, elastic silk like satin.

2, Color: picture color or custom color ( if you couldn't make sure of the color, you can order fabric swatch ).

3, Size: standard size choose size from the size chart, if you want a custom size, we need to size as below: Please confirm the size according to our Measurement Guide.

Bust______ cm/inch
Waist______cm/inch
Hip:_______cm/inch
Butt:_______cm/inch(for mermaid dress )
Shoulder to shoulder :_______cm/inch
nipple to nipple:_______cm/inch
Shoulder to bust :_______cm/inch(measured from middle shoulder to nipple)
Shoulder to hem:_______cm/inch( measure from the front of the body and past the nipple to the end of the dress, please include your shoes on, please see attached picture)
Armhole:_______cm/inch(end of arm,a circle around the top shoulder))
Armlength:_______cm/inch(from the top shoulder to where you like)(need for dress which has sleeve))
Biceps:_______cm/inch (need for dress which has sleeve)
Neck circumference:_______cm/inch (need for high neck or halter style)

4, Shipping and  Return Policy, if you need it earlier, please choose Rush Order.


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SKU: 43887868141

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4.9 ★★★★★
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D
Verified Purchase
David Escobar
Fort Morgan, 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
Cuba, 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
Pawtucket, 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
Cuba, 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
Los Angeles, 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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