Sarah Evans – författare

The only hyper-realistic drawing book with the humour and taste that today's audience demands. You’ll never look at a fried egg the in same way again!With this book, you’ll learn how to draw your own super-real artworks. Twenty step-by-step tutorials show you each stage on the way to an impressive finished effect. From a simple spoon to an appetizing avocado and beautiful rosebuds, you’ll discover the confidence to have a go, as Sarah Evans expertly guides you through the materials and techniques you’ll need.

Henry's Attic provides fascinating documentation of some of the one million artifacts in the Henry Ford Museum and Greenfield Village. The items represent both Henry Ford's passion for collecting Americana and the astonishing array of gifts-some of great historic value and others of a distinctly homegrown variety-that account for almost half of the museum's collections. It was the quantity of these gifts and the unusual and even unique nature of many of them that provided the inspiration for this book.Henry Ford Museum and Greenfield Village, which Ford established in Dearborn, Michigan in the late 1920s, was intended to recreate the slow-paced, rural character of America before the advent of the automobile. The purchases he made and the gifts he was given reflect his desire to document and preserve the lifeways of common people and to emphasize middle-class rural history, as represented by the tools of agriculture, industry, and transportation.

The purchases he made and the gifts he was given reflect his desire to document and preserve the lifeways of common people and to emphasize middle-class rural history, as represented by the tools of agriculture, industry, and transportation.

Learn how MongoDB helps organizations build scalable, secure, and AI-ready data foundations that power RAG, AI agents, and intelligent applications while simplifying performance, governance, and growth.Key FeaturesIdentify the data requirements that enable AI applications to succeed in productionEvaluate retrieval strategies for accurate and trustworthy AI experiencesApply architectural principles for scalable, AI-ready data platformsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAI success depends on more than models, it requires a data foundation built for scale, intelligence, and trust. In Future-Ready Data Foundation with MongoDB, you’ll discover the principles behind building AI-ready data architectures that support modern applications, retrieval-augmented generation (RAG), and AI agents. This concise guide explores the critical role of data in AI modernization and shows how MongoDB helps organizations create a unified foundation for innovation.Through practical architectural insights, you’ll learn how retrieval strategies influence the quality and reliability of AI outcomes and how MongoDB’s document model and vector search capabilities support intelligent data access. You’ll also explore the scalability, performance, and operational patterns required to keep AI systems running efficiently, including replication, sharding, workload isolation, and search optimization. Finally, you’ll examine the governance, observability, security, and compliance considerations that help organizations deploy AI responsibly and at scale.By the end of this book, you’ll be equipped to evaluate, design, and optimize data foundations that support the next generation of AI-powered applications.What you will learnIdentify the data foundations required for successful AI initiativesCompare lexical, vector, and hybrid retrieval strategiesUnderstand how RAG and AI agents shape modern AI architecturesUse MongoDB's document model to store and manage data for AI applicationsExplore native vector search for semantic retrieval and AI-powered search experiencesAssess scaling patterns using replication, sharding, and dedicated Search NodesApply governance, security, and compliance practices for AI systemsWho this book is forThis book is for technology leaders, data architects, data engineers, platform engineers, and AI practitioners who want to build strong foundations for modern AI initiatives. It is also valuable for decision-makers evaluating how data architecture affects the scalability, performance, security, and governance of AI systems. By reading this book, you’ll gain the architectural knowledge needed to assess, design, and support AI-ready data platforms that power RAG applications, AI agents, and other intelligent solutions.

Get lost! A simple phrase with complicated meanings. Taken one way, it can be considered quite rude and derogatory. Taken another way—the way this book intends—it is an extraordinarily great directive. Writers desire to achieve that blissful sensation of being lost in the words, to find that the story has taken over and is writing itself, causing even the author to breathlessly wait to see what is going to happen next. Readers also want that level of consciousness where their real world departs, and the words on the page transport them to places unknown. If you seek to lose yourself in the written word, to leave everyday life behind, to be elsewhere...you've come to the right place! The authors featured in this anthology have crafted remarkable stories with the capability and the power to take you out of this world. So, buckle up, turn the page, and: GET LOST!