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jellycat madeleine margaux pelus kahverengiBeschreibung: Amuseables Margaux Madeleine ist eine echte Virtuosin des Steinhpfens. Von friedlichen Teichen bis zu den Wassern der Seine erkennt man sie an ihrem perfekten Wurf: die Bewegung ist przise, flieend und von Natur aus elegant. Whrend andere auf Leistung setzen, hat Margaux sich fr sthetik entschieden: eine kreisfrmige Bahn, die mit zwei oder drei kleinen Wellen endet und dem Applaus derer, die das Vergngen haben, die Vorstellung zu
Beschreibung: Amuseables Margaux Madeleine ist eine echte Virtuosin des Steinhüpfens. Von friedlichen Teichen bis zu den Wassern der Seine erkennt man sie an ihrem perfekten Wurf: die Bewegung ist präzise, fließend und von Natur aus elegant. Während andere auf Leistung setzen, hat Margaux sich für Ästhetik entschieden: eine kreisförmige Bahn, die mit zwei oder drei kleinen Wellen endet... und dem Applaus derer, die das Vergnügen haben, die Vorstellung zu erleben. Ihre goldene Textur ist selbst in voller Bewegung makellos und geht nie aus der Form. Ihr Lächeln ist stets vollkommen am richtigen Platz. Die elegante und unerschütterliche Margaux ist der einzige Leckerbissen, der Steinhüpfen definitiv chic machen kann.Details: Festes Element
Produktinhalt: Hauptmaterialien: Polyester Innenfutter: Polyesterfasern, Polyethylenkügelchen
Weitere Informationen: Pflegehinweise: Nur Handwäsche. Nicht im Trockner trocknen, nicht chemisch reinigen und nicht bügeln. Maschinenwäsche wird nicht empfohlen. Überprüfen Sie bei Erhalt des Produkts alle Etiketten. Getestet nach EN71-, ASTM- und ISO 8124-Standards. Hergestellt in Vietnam
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4.3 ★★★★★
Based on 13 reviews
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Product Reviews
★★★★★ 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Already outdated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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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