Geburtstag Geschenk Mädchen Junge | Weihnachtsgeschenk Kinder Kissen Geschenk mit Name personalisiert Löwe
SKU: 61395630489

Geburtstag Geschenk Mädchen Junge | Weihnachtsgeschenk Kinder Kissen Geschenk mit Name personalisiert Löwe

Sale price$31.46 Regular price$34.95
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Description

Geburtstag Geschenk Mädchen Junge | Weihnachtsgeschenk Kinder Kissen Geschenk mit Name personalisiert LöweSatinkissen Material: Bezug Satin Farbe: Wei glnzend Vorderseite bedruckt mit Wunschdesign Kissengroe 40 x 40 cm 100 % Polyester Fllung Verschlussart: Reiverschluss Dekokissen mit Druck auf der Vorderseite Handwsche empfohlen Pflegehinweise: Um die Langlebigkeit Ihres Kissens zu gewhrleisten, empfehlen wir Ihnen folgende Pflegehinweise: Nicht bleichen. Maschinenwsche bei hchstens 30C oder niedriger um Verformungen und Farbverlust zu vermeiden. Nicht

Satinkissen

  • Material: Bezug Satin

  • Farbe: Weiß glänzend

  • Vorderseite bedruckt mit Wunschdesign

  • Kissengroße 40 x 40 cm

  • 100 % Polyester Füllung

  • Verschlussart: Reißverschluss

  • Dekokissen mit Druck auf der Vorderseite

  • Handwäsche empfohlen

  • Pflegehinweise:

Um die Langlebigkeit Ihres Kissens zu gewährleisten, empfehlen wir Ihnen folgende Pflegehinweise:

  • Nicht bleichen.

  • Maschinenwäsche bei höchstens 30°C oder niedriger um Verformungen und Farbverlust zu vermeiden.

  • Nicht in den Wäschetrockner um das Einlaufen oder Beschädigungen an dem Kissen zu vermeiden.

  • Sicherheitshinweise:

Aufbewahrung außerhalb der Reichweite von Kleinkindern

Erstickungsgefahr durch das Kissen / Kissenhülle oder Kissenfüllung.

Brandgefahr: Das Kissen besteht aus 100 % Polyester und ist leicht entflammbar!Der Kontakt mit Feuer, Kerzen oder heißen Oberflächen ist deshalb zu vermeiden.

Allergische Reaktionen: Polyester kann bei bei empfindlicher Haut Reizungen und Allergien hervorrufen.

Herstellerinformationen:

Picanova GmbH, Hohenzollernring 25, 50672 Köln, [email protected]

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SKU: 61395630489

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4.6 ★★★★★
Based on 254 reviews
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D
Verified Purchase
David Escobar
Battle Creek, 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
Massapequa, 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
Grantham, 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
Verified Purchase
B. Black
Grantham, 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
New York, 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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