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Makita DHP 480 SAX5 Akku Schlagbohrschrauber 18 V 54 Nm + 1x Akku 2,0 Ah + Ladegerät + 101 tlg. Zubehör Set + Koffer

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Makita DHP 480 SAX5 Akku Schlagbohrschrauber 18 V 54 Nm + 1x Akku 2,0 Ah + Ladegerät + 101 tlg. Zubehör Set + KofferLieferumfang: 1x Makita DHP 480 Akku Schlagbohrschrauber 1x Makita BL 1820 B 18 V 2,0 Ah Akku 1x Makita DC 18 SD Akku Ladegert 101 tlg. Zubehrset 30x Bit 25 mm ( PH1 PH2 PH3 2x PZ1 3x PZ2 2x PZ3 2x SL3 2x SL4 2x SL4,5 2x SL6 SL7 SL8 T10 T15 T20 T25 T27 T30 H3 H4 H5 H6 ) 20x Bit 50 mm ( PH1 2x PH2 PH3 PZ0 PZ1 2x PZ2 PZ3 T10 T20 T25 T27 H3 H4 H5 H6 SL3 SL4 SL4,5 ) 3x Frsbohrer ( 12 16 19 mm ) 6x Holzbohrer ( 3 4 5 5,5 6 6,5 mm ) 6x Steinbohrer ( 3 4 5
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4.7 ★★★★★
Based on 68 reviews
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Product Reviews
D
Verified Purchase
David Escobar
West Palm Beach, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
Verified Purchase
Filipe Fernandes
Bozeman, 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
Alexandria, 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
Battle Creek, 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Already outdated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
Carnegie, 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

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