SKU: 98922551112

No 14. Little Play. Bay of Islands.

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Description

No 14. Little Play. Bay of Islands.Limited Edition Prints Each print comes with a signed, numbered Certificate of Authentication. Your framer can fix this to the back of your print if required. The Print The print is a high resolution, Gicle, Fine Art Print. It was printed on acid free, archival, Hahnemhle Photo Rag, 308gsm paper by Skar Image Lab in Auckland, New Zealand. Prints are unframed with a paper border to facilitate framing and handling. It is recommended that you take your

Limited Edition Prints

Each print comes with a signed, numbered Certificate of Authentication. Your framer can fix this to the back of your print if required.

The Print
The print is a high resolution, Giclée, Fine Art Print. It was printed on acid-free, archival, Hahnemühle Photo Rag, 308gsm paper by Skar Image Lab in Auckland, New Zealand.
Prints are unframed with a paper border to facilitate framing and handling. It is recommended that you take your print directly to your framer for unpacking. Alternatively, if unpacking the print yourself, use cotton gloves and only handle the paper border. Prints are wrapped in protective tissue and delivered in an art tube.

Delivery
Please note, this is a made to order print and it is not an ‘off the shelf’ item. Delivery in New Zealand will take approximately 10 to 14 working days. For overseas delivery, approximately 4-6 weeks.

The original painting has not been sold.

Photo credit: Cornelius Geraets

© 2025 by Simon Clark. All Rights Reserved

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SKU: 98922551112

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B. Black
Draper, US
★★★★★ 3
Already outdated
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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
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Joe Faith
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★★★★★ 5
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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
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Tom C Taulli
New York, 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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Lydia O
Waukegan, 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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Jacob Lee
Omaha, 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

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