SKU: 56839170381
summer white short dresses

summer white short dresses Sexy Short White Summer Dress Beach Dress – FancyVestido

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Description

summer white short dresses Sexy Short White Summer Dress Beach Dress – FancyVestidoMaterial: Cotton SIZE: S, M, L, XL Size Bust Waist Length S 80 85cm 63cm 75cm M 85 90cm 68cm 76cm L 90 95cm 73cm 77cm XL 95 100cm 78cm 78cm Color: White Delivery Time: 10 30 days If you are in urgent need of it, please contact our customer service through our live chat or email: contact@modcody. com

Material: Cotton

SIZE: S, M, L, XL

Size Bust  Waist Length
S 80-85cm 63cm 75cm
M 85-90cm 68cm 76cm
L 90-95cm 73cm 77cm
XL 95-100cm 78cm  78cm


Color: White

Delivery Time: 10-30 days

If you are in urgent need of it, please contact our customer service through our live chat or email: [email protected]

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SKU: 56839170381

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4.7 ★★★★★
Based on 15 reviews
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D
Verified Purchase
David Escobar
West Palm Beach, 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
West Palm Beach, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 10, 2025
E
Verified Purchase
Eddwin Paz
Whiting, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 19, 2025
B
Verified Purchase
B. Black
Houston, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2025
J
Joe Faith
Belleville, 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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