SKU: 24576491248

UAQ Umm Al Qaiwain UAE 1389 1970 Silver Ryal Old Cannon NGC PF68 Mintage-2,050

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Description

UAQ Umm Al Qaiwain UAE 1389 1970 Silver Ryal Old Cannon NGC PF68 Mintage-2,050Normal 0 false false false RU JA X NONE UAQ Umm Al Qaiwain UAE 1389 1970 Rare Silver Coin Old Cannon within wreath Denomination: 1 Riyal Authenticity is certified by Numismatic Guaranty Corporation NGC Grade: PF 68 Ultra Cameo Certification Number: 4424065 016 To verify the authenticity of this coin, please enter the certification number on the Numismatic Guaranty Corporation NGC certificate verification web page Composition: Silver Fineness: 0. 999

UAQ Umm Al Qaiwain UAE 1389 1970 Rare Silver Coin 

Old Cannon within wreath

Denomination:        1  Riyal

Authenticity is certified by Numismatic Guaranty Corporation NGC

Grade:            PF 68 Ultra Cameo

Certification Number: 4424065-016

To verify the authenticity of this coin, please enter the certification number on the Numismatic Guaranty Corporation NGC certificate verification web page 

Composition: Silver 

Fineness: 0.999

State of Umm al-Quwain (a part of United Arab Emirates)

Minted by Staatliche Münze Baden-Württemberg, Karlsruhe, Germany

Weight: 3 g

Diameter: 18 mm

Mintage: 2,050 coins

Catalog References: KM# 1, Schön# 1


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SKU: 24576491248

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Filipe Fernandes
New York, 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
Chelsea, 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
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B. Black
Fort Morgan, US
★★★★★ 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Already outdated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
J
Joe Faith
Dallas, 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
Belleville, 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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