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Description
flower seeds organic Sow and Grow Cut Flower Collection – Pinetree Garden SeedsWe made growing cut flowers simple with this 'Sow and Grow' collection. Easy to grow for the novice gardener and a flower selection that old gardeners will enjoy too. No need to start any seeds indoors with this collection, but of course, you can and will get even earlier blooms. A bountiful harvest of flowers will be ready for cutting, starting around 50 days after sowing, from early summer until the end of the season. This collection contains the
We made growing cut flowers simple with this 'Sow and Grow' collection. Easy to grow for the novice gardener and a flower selection that ‘old’ gardeners will enjoy too. No need to start any seeds indoors with this collection, but of course, you can and will get even earlier blooms.
A bountiful harvest of flowers will be ready for cutting, starting around 50 days after sowing, from early summer until the end of the season. This collection contains the majestic Oklahoma Zinnia, with the perfect-sized cutting flowers in a rainbow of colors, Tall Mix Centaurea, also known as bachelor buttons or cornflowers, loved by gardeners for hundreds of years. They come in mystical blue shades along with pinks and whites. Pink Surprise Calendula's puffy double flowers will be the first to cut, and the little-known Paper Daisy will reward you with fresh and everlasting bouquets. Cosmos are the free spirits, with dancing and floating flowers going every which way, offering a delicate beauty to arrangements and the sunflower mix grows an array of flowers from short to tall and single to double. The flowers in this collection will not only fill up your vases, the pollinators and beneficial insects will love it too!
Perfect as a gift! Or take the guesswork out of starting a specialty garden! These carefully curated selections come attractively packaged in a decoratively wrapped recyclable box with each of the seeds listed, and an instructional insert with plenty of growing tips. We are so excited to share some of our favorites with you! Contents may vary slightly based on product availability.
SOWING
- Prepare the planting area
- Pull and rake out any weeds. Amend soil with compost and/or add organic granular fertilizer.
- Keep well watered for optimum germination
- Label - sow the seeds in rows or spaces where it is easy to identify
- Keep well weeded, seedlings don’t compete well with weeds.
GROWING
- Keep watered during dry spells, mulching will help retain moisture
- Add an organic fertilizer mid-season helps keep the plants blooming strong until the end of the season
- Deadhead–removing all the dead or dying blooms helps keep the plant flowering
HARVESTING
- Harvest in the morning
- Use a sharp tool
- Place in a bucket of water as you cut
- Strip the leaves off the stem, prolongs longevity
- Cut stems every day or two for a longer vase life
- Misting with a spray bottle keeps color and petals fresh
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4.4 ★★★★★
Based on 1020 reviews
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Product Reviews
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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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