Silentnight Safe Nights Grey Baby 2.5 Tog Sleeping Bag
SKU: 59638346523

Silentnight Safe Nights Grey Baby 2.5 Tog Sleeping Bag

Sale price$18.90 Regular price$21.00
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Description

Silentnight Safe Nights Grey Baby 2.5 Tog Sleeping BagKeep your bundle of joy safe and snug throughout the night. A safe and comfortable alternative to loose sheets. Featuring an easy access zip for fuss free nappy changes and popper buttons for a snug and secure fit. Features and Benefits: SAFE COSY COMFORT: Offering cosy comfort for your little one through the night, a safe alternative to loose sheets. 2. 5 tog helps to keep your little one at a comfortable temperature whilst sleeping. EASY ACCESS ZIP:

Keep your bundle of joy safe and snug throughout the night. A safe and comfortable alternative to loose sheets. Featuring an easy access zip for fuss-free nappy changes and popper buttons for a snug and secure fit.

Features and Benefits: 

•    SAFE COSY COMFORT: Offering cosy comfort for your little one through the night, a safe alternative to loose sheets. 2.5 tog helps to keep your little one at a comfortable temperature whilst sleeping. 
•    EASY-ACCESS ZIP: Fuss-free nappy changes with an easy access bottom zip, meaning no need to remove the sleep bag whilst changing, so your baby can remain comfortable and relaxed. Also featuring popper buttons at the top for a secure and snug fit. 
•    BREATHABLE COTTON: Crafted from soft-touch cotton jersey, which is durable, breathable, and kind to the skin.
•    CERTIFIED SAFETY: Made in an OEKO-TEX® certified factory, this product has the ultimate seal of approval for safety standards.
•    AWARD WINNING: Part of Silentnight’s award-winning Safe Nights collection, tried and tested by mums.
•    HYPOALLERGENIC AND EASY CARE: Kind to skin and does not contain any materials likely to cause allergies. Easy care, machine washable and tumble dry safe for continued freshness. 

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SKU: 59638346523

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Verified Purchase
David Escobar
Belleville, 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
Belleville, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
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Reviewed in the United States on June 10, 2025
E
Verified Purchase
Eddwin Paz
Los Angeles, 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
Bozeman, 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
Massapequa, 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

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