STAHLWILLE 13214a ZOLL Line Maintenance Set im Tragekasten 13216/4 - 98814801

STAHLWILLE 13214a ZOLL Line Maintenance Set im Tragekasten 13216/4 - 98814801

Marsoni

M251S

$1478.99

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STAHLWILLE 13214a ZOLL Line Maintenance Set im Tragekasten 13216/4 - 98814801STAHLWILLE 13214a Line Maintenance Set im Tragekasten 13216 4 STAHLWILLE Code: 98814801 Beschreibung: fr die Wartung an Flugzeugen und Hubschraubern 123 Werkzeuge in Einlagen inkl. des Tragekastens 13216 4 mit TCS Einlagen

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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

Tom C Taulli

Omaha, 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

Lydia O

Alexandria, 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

Jacob Lee

Lowell, 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