SKU: 28935565862

Mathias Wunderlich - Goldwaage

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Mathias Wunderlich - GoldwaageMaterial: Acryl auf Leinwand Entstehungsjahr: 2026 Grsse: 100 x 100 cm Rahmung: ungerahmt ber das Werk: Die Arbeit ist ein fantasievolles Werk, welches Elemente aus der Natur zu einer abstrakten Komposition verwebt. Mit schillernden und matten Elementen erinnert es an Flgel eines Falters, oder das Geder eines Blattes. Die Formen werden zu Figuren, eine Waage mit goldenen Talern zeichnet sich ab. Es geht um die Schnheit der Natur, den Wert, den sie fr


Material: Acryl auf Leinwand
Entstehungsjahr: 2026
Grösse: 100 x 100 cm
Rahmung: ungerahmt

Über das Werk: Die Arbeit ist ein fantasievolles Werk, welches Elemente aus der Natur zu einer abstrakten Komposition verwebt. Mit schillernden und matten Elementen erinnert es an Flügel eines Falters, oder das Geäder eines Blattes. Die Formen werden zu Figuren, eine Waage mit goldenen Talern zeichnet sich ab. Es geht um die Schönheit der Natur, den Wert, den sie für uns Menschen als Ressource und Quell, aus dem wir selbst entspringen.

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SKU: 28935565862

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4.8 ★★★★★
Based on 28 reviews
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Product Reviews
F
Verified Purchase
Filipe Fernandes
Carnegie, 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
Pawtucket, 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
Alexandria, 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Already outdated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
Natrona Heights, 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
T
Tom C Taulli
San Leandro, 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

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