chinese lantern plant from seed Chinese Lantern – 50 Seeds
SKU: 14809614659
chinese lantern plant from seed

chinese lantern plant from seed Chinese Lantern – 50 Seeds

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Description

chinese lantern plant from seed Chinese Lantern – 50 SeedsAdd a festive, natural touch to your fall decor with our heirloom Chinese Lantern seeds. This unique perennial is famous for the bright orange, papery husks that form around its fruit, looking just like delicate paper lanterns. The stems are a favorite for fall decorating and are exceptional for use in dried floral arrangements, holding their brilliant color for months. Inside each husk is a small, edible, cherry like fruit with a unique, tart flavor

Add a festive, natural touch to your fall decor with our heirloom Chinese Lantern seeds. This unique perennial is famous for the bright orange, papery husks that form around its fruit, looking just like delicate paper lanterns. The stems are a favorite for fall decorating and are exceptional for use in dried floral arrangements, holding their brilliant color for months. Inside each husk is a small, edible, cherry-like fruit with a unique, tart flavor perfect for making preserves.

⭐ What you'll love

  • Iconic, bright orange, papery "lanterns" are perfect for fall and winter decorations.
  • An exceptional plant for drying, providing long-lasting color for crafts.
  • The small, edible fruits inside the husks have a unique, tart flavor.
  • A hardy and vigorous perennial that returns year after year.

🌿 Seed details

  • Plant Name: Chinese Lantern (Physalis alkekengi)
  • Seed Quantity: Approx. 50 seeds
  • Type: Heirloom, Open Pollinated, Non-GMO
  • Lifecycle: Perennial
  • Height: 24-36 inches
  • Days to Maturity: 70-80 days
  • USDA Zone: 3-9
  • Origin: American Grown

🌱 Growing instructions

  • Sowing: Start seeds indoors 6-8 weeks before the last frost.
  • Soaking & Stratification: Soaking seeds for 24 hours before planting can help. A short, 14-day cold stratification in the refrigerator may also improve germination.
  • Depth: Plant seeds 1/16 inch deep.
  • Spacing: Transplant seedlings outdoors after the danger of frost has passed, spacing them 18-24 inches apart.
  • Light Requirement: Full Sun to Partial Shade.
  • Soil: Prefers average, well-draining soil.

✅ Our seed packets

  • Professionally designed and made.
  • Resealable for convenient, long-term storage.
  • Eco-friendly and recyclable (contains no plastic).
  • Includes full, detailed growing instructions.
  • Vigorously tested to ensure the highest germination rates.
  • Custom packets for weddings, baby showers, or events are available. Just message us!

🚚 Shipping

  • FREE SHIPPING on all orders of $35 or more.
  • Flat Rate shipping no matter how many seeds you order.
  • Tracking is included with every order.
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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Exchange/Return Notes
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SKU: 14809614659

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Scott J. Pearson
Birmingham, US
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
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Reviewed in the United States on December 13, 2025
J
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Jason Bolton
Lexington, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
J
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James Gianoglio
Phoenix, 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.
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Reviewed in the United States on June 25, 2024
M
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Matt B
Omaha, 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.
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Reviewed in the United States on June 25, 2024
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SR
Port Orchard, 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.
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Reviewed in the United States on August 7, 2024

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