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220/900 Pieces Stitch Markers,with 15 Pcs Large Eye Blunt Sewing Needles,Colorful Crochet Stitch Markers for Knitting Stitch Locking Clips Crochet Pins with Storage BoxBrand: FIVEIZERO Color: Highly Rated Features: MaterialFIVEIZERO stitch markers set are made of plastic material,safe to use and not easy to break or fade,can be reused for a long time. Our knitting stitch markers are a good helper for your work. 235 Pcs Sewing AccessoriesComes with 220 pieces of locking stitch markers safely. In addition, there are 15 pieces big eye yarn needles(9 * large eye blunt metal sewing needles & 6 * large eye plastic
Brand: FIVEIZERO
Color: ⭐Highly Rated
Features:
- 【Material】FIVEIZERO stitch markers set are made of plastic material,safe to use and not easy to break or fade,can be reused for a long time.Our knitting stitch markers are a good helper for your work.
- 【235 Pcs Sewing Accessories】Comes with 220 pieces of locking stitch markers safely.In addition, there are 15 pieces big eye yarn needles(9 * large eye blunt metal sewing needles & 6 * large eye plastic needles) for your sewing.
- 【Thoughtful Design】FIVEIZERO knitting clips has 15 different candy colors, bright colors can meet your various needs, can add fun to your weaving.We also provide 1 pc storage box and needle bottle,Easy to use and Store. where you can store unused needles & crochet clips to keep them from getting lost and easy to carry.
- 【Widely Used】DIY Craft Plastic Safety Pins can be used for Great for marking the beginning and ending of pattern stitches, as well as where to increase or decrease the number of stitches,stitch markers for crocheting widely used in knitting, weaving, crocheting, arts, craft projects, fabric clothes.
- 【The Best After-sales Team】When you choose FIVEIZERO quality products, you will also enjoy the dedicated service of our professional customer service team. Excellent product quality gives us the confidence, no matter if you have any questions, feel free to contact us and we will make you satisfied.
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4.7 ★★★★★
Based on 17 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
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
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