SKU: 38271268323

Excellent Schnüffelmatte für Pferde - lebensmittelecht

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Description

Excellent Schnüffelmatte für Pferde - lebensmittelechtVor und Nachteile Stimuliert das natrliche Futterverhalten Hilft, Langeweile zu vermeiden Hergestellt aus lebensmittelechtem und langlebigem Silikon Geeignet fr Pferde und Ponys jeden Alters und jeder Gre Einfaches Aufhngen dank des Lochs in der Ecke Die Excellent Horse Schnffelmatte ist eine Herausforderung fr Pferde und Ponys! Diese Matte stimuliert das natrliche Suchverhalten (Schnffelverhalten) der Pferde, da sie sich anstrengen mssen, um alle

Vor- und Nachteile
  • Stimuliert das natürliche Futterverhalten
  • Hilft, Langeweile zu vermeiden
  • Hergestellt aus lebensmittelechtem und langlebigem Silikon
  • Geeignet für Pferde und Ponys jeden Alters und jeder Größe
  • Einfaches Aufhängen dank des Lochs in der Ecke

Die Excellent Horse Schnüffelmatte ist eine Herausforderung für Pferde und Ponys! Diese Matte stimuliert das natürliche Suchverhalten (Schnüffelverhalten) der Pferde, da sie sich anstrengen müssen, um alle Leckereien auf der Matte zu fressen. Ideal, um die Langeweile zu bekämpfen oder die Pferde auf spielerische Weise zu belohnen.

Die Matte ist aus weichem Silikon gefertigt und daher auch für empfindliche Pferdenasen geeignet.

Verwendung Legen Sie die Schnüffelmatte auf eine ebene Fläche (z. B. im Stall, im Anhänger oder auf dem Paddock) und füllen Sie sie mit Leckereien wie Raufutter, Pellets, Müsli oder Obst- und Gemüsestücken.

Nach dem Gebrauch kann die Matte dank des Lochs in der Ecke einfach aufgehängt werden (z. B. mit einem Karabiner), damit sie abgespült und an der Luft getrocknet werden kann.

Material 100 % Silikon
Abmessungen 50 x 50 cm

Produktvideo

 

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SKU: 38271268323

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B. Black
Whiting, 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Already outdated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
Massapequa, 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
Chelsea, 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.
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Reviewed in the United States on April 11, 2025
L
Lydia O
Chelsea, US
★★★★★ 5
Useful resource!
Format: Paperback
I found this book well written and extremely useful for getting comfortable with LLMs for building AI apps in production and other agent driven applications.
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Reviewed in the United States on April 10, 2025
J
Jacob Lee
New York, US
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
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Reviewed in the United States on April 10, 2025

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