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history of succulents

history of succulents Pierre Joseph Redoute History of Succulents Set 1 [76 Images]

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history of succulents Pierre Joseph Redoute History of Succulents Set 1 [76 Images]About Pierre Joseph Redout (1759 1840) was a Belgian painter and botanist who is considered one of the greatest botanical illustrators of all time. He is best known for his stunning watercolor paintings of flowers, particularly roses, which were highly sought after by royalty, botanists, and collectors during his lifetime. Redout was born in Saint Hubert, Belgium, and began his artistic career as a painter of porcelain. He later turned his attention

About

Pierre Joseph Redouté (1759-1840) was a Belgian painter and botanist who is considered one of the greatest botanical illustrators of all time. He is best known for his stunning watercolor paintings of flowers, particularly roses, which were highly sought after by royalty, botanists, and collectors during his lifetime.

Redouté was born in Saint-Hubert, Belgium, and began his artistic career as a painter of porcelain. He later turned his attention to botanical illustration, and in the early 1790s, he began working for the French royal family, creating botanical illustrations for their gardens at the Palace of Versailles and the Château de Malmaison.

Redouté's skill as a botanical artist quickly gained him a reputation as one of the most talented and accurate illustrators of his time. He was known for his ability to capture the intricate details and delicate nuances of flowers, and his paintings were admired for their beauty, elegance, and scientific accuracy.

Throughout his career, Redouté published a number of botanical books and folios, including Choix les Plus Belles Fleurs, Les Roses, and Histoire des Plantes Grasses, which are still considered some of the most important and influential botanical publications of all time. His illustrations also appeared in a number of other publications, including the famous botanical magazine Flore des Jardins de l'Europe.

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A wonderful primer for those discovering the amazing world of generative AI
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Somewhere in the past year, ChatGPT has gone from "cool, interesting, amusing" to a massively valuable work assistant capable of writing Python scripts, analysing data, and doing lots, lots, more. The key to this? The rapid evolution of OpenAI's GPT models and making my first forays into prompt engineering. If I thought I was getting good, though, this book took me reminded me that I'm just scratching the surface. Halfway through the first chapter I was already furiously scribbling notes in the margins for what I could do better with my prompt writing and by the end of the text I felt like I had gotten a very good grounding - not just in GPTs specifically but in the bigger picture of how these hugely powerful tools were trained and came to maturity. I imagine that few will argue with my assertion that there is lots of hyperbole and "noise" in the AI space right now which, as ever, makes it hard to pick out the signal from the noise. Which is precisely why I sought out an O'Reilly title and I'm very glad that I did. Thorough, excellent, and I hope that this edition will be the first of many. As this rapidly maturing field scales and matures I think that prompt engineering will be an essential discipline to master. Pick up this text to get a good foothold on things.
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Understanding AI prompts as a science
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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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