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white plus size formal dresses Plus Size Velvet Sequin A-line Gown by Tiffany Designs 16963 24W / PinkThis beautiful dress features a sleeveless V neckline, velvet sequin A line skirt with side pockets, a center zipper back, and a sweep train. Plus Size Velvet Sequin A line Gown by Tiffany Designs 16963 Tiffany Designs Love Plus Size Collection by the House of Wu: Spring 2022 Fabric: Velvet Sequins Colors: Blue Aqua, Ivory, Pink, Yellow Sizes: 14W to 28W Details: Bra Cup, Fully Lined Fit: The model is 5'8" and is wearing 4" heels Occasions: Prom, Red
This beautiful dress features a sleeveless V-neckline, velvet sequin A-line skirt with side pockets, a center zipper back, and a sweep train.
- Plus Size Velvet Sequin A-line Gown by Tiffany Designs 16963
- Tiffany Designs Love Plus Size Collection by the House of Wu: Spring 2022
- Fabric: Velvet Sequins
- Colors: Blue Aqua, Ivory, Pink, Yellow
- Sizes: 14W to 28W
- Details: Bra Cup, Fully Lined
- Fit: The model is 5'8" and is wearing 4" heels
- Occasions: Prom, Red Carpet, Gala, Wedding Guest, Debutante Ball, Military and Marine Ball, Evening Wear, Formal Gown, Pageant, Mother of the Bride/Groom, Plus Size, Curvy
- Availability: If this gown is in-stock, please allow 1 to 2 weeks for delivery. If this dress is not in-stock or in-production, please allow up to 4 months for delivery because Tiffany Designs dresses are made-to-order. The House of Wu has lots of Tiffany Designs dresses that are already made and in-stock. If you have any questions about the availability, please contact us.
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4.7 ★★★★★
Based on 319 reviews
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Product Reviews
★★★★★ 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Already outdated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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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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