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Porsche Originalteil – Tülle für Temperatursensor. Porsche 911 / Boxster / Cayman / Macan / Cayenne / Panamera

Marsoni M251S
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Porsche Originalteil – Tülle für Temperatursensor. Porsche 911 / Boxster / Cayman / Macan / Cayenne / PanameraPorsche Originalteil Tlle fr Temperatursensor. Porsche 911 Boxster Cayman Macan Cayenne Panamera Porsche Originalteil. Tlle fr Temperatursensor. Porsche 993 Carrera 1995 98 Porsche 996 Carrera 1998 05 Porsche 997. 1 2005 08 Porsche 997. 2 2009 12 Porsche 991. 1 2012 16 Porsche 991. 2 2017 18 Porsche 986 Boxster 1997 04 Porsche 987. 1 Boxster 2005 08 Porsche 987. 2 Boxster 2009 12 Porsche 981 Boxster 2012 16 Porsche 982 (718) Boxster 2017>> Porsche
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4.5 ★★★★★
Based on 1439 reviews
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Verified Purchase
Eddwin Paz
Lake Worth, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 19, 2025
B
Verified Purchase
B. Black
Natrona Heights, 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Already outdated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
Grantham, 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
Lake Worth, 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
Bozeman, 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

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