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Description
GANT Ga3241 Men's Metal Eyeglasses Matte Black Shiny Gunmetal 53-17-140Discover sophisticated style tailored for the modern man with GANT eyewear. Crafted with a sleek Matte Black and Shiny Gunmetal metal frame, these glasses offer a refined touch to any ensemble. Clear demo lenses ready to be replaced with your custom prescription lenses. GANT Craftsmanship Experience the blend of innovative design and quality materials from a globally recognized brand. Sophisticated Metal Frame Enjoy a sleek and durable design crafted
Discover sophisticated style tailored for the modern man with GANT eyewear. Crafted with a sleek Matte Black and Shiny Gunmetal metal frame, these glasses offer a refined touch to any ensemble.
- Clear demo lenses - ready to be replaced with your custom prescription lenses.
- GANT Craftsmanship - Experience the blend of innovative design and quality materials from a globally recognized brand.
- Sophisticated Metal Frame - Enjoy a sleek and durable design crafted from high-quality metal.
- Distinctive Color Combination - Enhance your style with the modern appeal of Matte Black and Shiny Gunmetal frames.
- Lightweight Comfort - Designed for all-day wear, these frames weigh just 0.012 kg, ensuring exceptional comfort.
- Ready for Custom Lenses - Equipped with polycarbonate demo lenses, these frames are prepared for your personalized prescription.
- Men's Ergonomic Fit - Tailored for men with dimensions of 53/17/140, providing a comfortable and secure fit for daily use.
Specifications:
- Brand: GANT
- Model Number: Ga3241
- Frame Material: Metal
- Frame Color: Matte Black / Shiny Gunmetal
- Style: Ga3241
- Lens Type: Clear demo lenses (replaceable, non-prescription)
- Lens Color: Clear
- Lens Material: Polycarbonate
- Bridge Width (mm): 17
- Temple Length (mm): 140
- Gender: Men’s
- Weight: 0.012
- Special Features: Not specified
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- Free Standard Shipping on $100+ Orders to the USA.
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- We offer a 30-day return/exchange service after receiving.
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4.2 ★★★★★
Based on 652 reviews
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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