SKU: 43709109644

14k Two tone VS Diamond kid pendant

Sale price$571.05 Regular price$634.50
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Description

14k Two tone VS Diamond kid pendantAttributes: Not engraveable by QG Metal: 14k Two tone Average Weight: 1. 57 GM Diamond Weight: 0. 03 CT Product Type: Jewelry Jewelry Type: Pendants & Charms Pendant Charm Type: Diamond Material: Primary Gold Material: Primary Color Two Tone Material: Primary Purity 14K Length of Item: 23 mm Width of Item: 14 mm Sold By Unit: Each Stone Type: Diamond Stone Color Grade: G H Stone Clarity: VS2 SI1 (VS) Stone Shape: Round Stone Creation Method: Natural

Attributes: Not engraveable by QG
Metal: 14k Two-tone
Average Weight: 1.57 GM
Diamond Weight: 0.03 CT
Product Type: Jewelry
Jewelry Type: Pendants & Charms
Pendant/Charm Type: Diamond
Material: Primary Gold
Material: Primary - Color Two-Tone
Material: Primary - Purity 14K
Length of Item: 23 mm
Width of Item: 14 mm
Sold By Unit: Each

Stone Type: Diamond
Stone Color Grade: G-H
Stone Clarity: VS2/SI1 (VS)
Stone Shape: Round
Stone Creation Method: Natural
Stone Cut: Faceted
Stone Size: 1.30 mm
Stone Quantity: 3
Stone Weight: 0.010 ct

Product ID: XK479VS

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SKU: 43709109644

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4.2 ★★★★★
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Product Reviews
J
Verified Purchase
Jason Bolton
Grantham, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Boise, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
Alexandria, US
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Alexandria, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024
K
Verified Purchase
K. Wain
Los Angeles, US
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 17, 2026

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