SKU: 11741411632

Robe satin dos nu et drapée rose

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Description

Robe satin dos nu et drapée roseEnvie d'une robe rose et sensuelle, craquez pour cet crin de satin au dos nu fminin et sexy ! Craquez pour une robe satine la coupe longue et prt du corps, la fois fluide mais fminine, cette robe en satin apportera mise en valeur certaine votre corps s'en en faire trop. Avec son dos nu ouvert, cette jolie robe vous permettra de rvler votre fminit tout en arborant un look classe et lgant. Satin de qualit Texture douce et coutures fines Disponible en

Envie d'une robe rose et sensuelle, craquez pour cet écrin de satin au dos nu féminin et sexy !

Craquez pour une robe satinée à la coupe longue et prêt du corps, à la fois fluide mais féminine, cette robe en satin apportera mise en valeur certaine à votre corps s'en en faire trop. Avec son dos nu ouvert, cette jolie robe vous permettra de révéler votre féminité tout en arborant un look classe et élégant.

  • Satin de qualité
  • Texture douce et coutures fines
  • Disponible en plusieurs couleurs
  • Lavage à la machine 30°
  • Repassage au fer max 110°

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SKU: 11741411632

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4.2 ★★★★★
Based on 14 reviews
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Product Reviews
F
Verified Purchase
Filipe Fernandes
Battle Creek, 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
Boise, 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
Carnegie, 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Already outdated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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025
T
Tom C Taulli
Belleville, US
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2025

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