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Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI.Learn how to empower AI to work for you. This book explains:The structure of the interaction chain of your program's AI model and the fine-grained steps in betweenHow AI model requests arise from transforming the application problem into a document completion problem in the model training domainThe influence of LLM and diffusion model architecture--and how to best interact with itHow these principles apply in practice in the domains of natural language processing, text and image generation, and codeBron : https://www.amazon.nl/Prompt-Engineering-Generative-AI-Future-Proof/dp/109815343X/ref=sr_1_2?__mk_nl_NL=%C3%85M%C3%85%C5%BD%C3%95%C3%91&crid=2UE7JJ60PY7JT&dib=eyJ2IjoiMSJ9.6q2uBgKHdDqYrSoOMw78q_-9Gm9L4EbgCF37dbQoVHNwr3E7KT_Ky4eSG5_jvKM0G1Ipw5-BpqwCyKskWdzEDJmfgQnRJodpfmd0wNT2pf3p-dTd0aMSZEwBSImCkzYiZVhJzwMOKLYMzOVGrlb2cNHytqZVXLFUc20oQ9NG1j0u5iAAHEzVk3jr7YjtMgSZjODlX4J6Sv1ax9HabslT_CNX4Fc1zAGbXMHM0TQAnA8.Yn0Rsi4uF-iLqCX3bU1uLbFn7ioNS8R8eEzk9PUBurs&dib_tag=se&keywords=stable+diffusion&qid=1727077374&refinements=p_n_format_browse-bin%3A16437364031%2Cp_n_feature_nine_browse-bin%3A5190934031&rnid=5190932031&s=books&sprefix=stable+diffusion%2Caps%2C192&sr=1-2

Stable Diffusion --- Artificiële intelligentie --- Big Data --- Data-analyse --- Gegevensverwerking --- Beeldbewerking

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Get access to the ultimate list of over 500 high quality Stable Diffusion and Midjourney image generating prompts!Create masterpieces and learn techniques used by professional prompt engineers to create amazing designs and artwork.Create epic designs like:?Stunning landscapes?Gorgeous women? Unreal fantasy characters? Abstract art and designs? Food, buildings, famous artist styles and more!Bron : https://www.amazon.nl/Image-Prompts-Diffusion-Midjourney-Generation/dp/B0CMK1YFCD/ref=sr_1_7?__mk_nl_NL=%C3%85M%C3%85%C5%BD%C3%95%C3%91&crid=2UE7JJ60PY7JT&dib=eyJ2IjoiMSJ9.6q2uBgKHdDqYrSoOMw78q_-9Gm9L4EbgCF37dbQoVHNwr3E7KT_Ky4eSG5_jvKM0G1Ipw5-BpqwCyKskWdzEDJmfgQnRJodpfmd0wNT2pf3p-dTd0aMSZEwBSImCkzYiZVhJzwMOKLYMzOVGrlb2cNHytqZVXLFUc20oQ9NG1j0u5iAAHEzVk3jr7YjtMgSZjODlX4J6Sv1ax9HabslT_CNX4Fc1zAGbXMHM0TQAnA8.Yn0Rsi4uF-iLqCX3bU1uLbFn7ioNS8R8eEzk9PUBurs&dib_tag=se&keywords=stable+diffusion&qid=1727077374&refinements=p_n_format_browse-bin%3A16437364031%2Cp_n_feature_nine_browse-bin%3A5190934031&rnid=5190932031&s=books&sprefix=stable+diffusion%2Caps%2C192&sr=1-7#

Stable Diffusion --- Artificiële intelligentie --- Big Data --- Data-analyse --- Gegevensverwerking --- Beeldbewerking

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You can create the next breakthrough innovation. A revolution is under way. But it's not about tearing down the old guard. It's about building, it's about creating, it's about breathing life into groundbreaking new ideas. It's called the Maker Movement, and it's changing the world. Mark Hatch has been at the forefront of the Maker Movement since it began. A cofounder of TechShop - the first, largest, and most popular maker space - Hatch has seen it all. Average people pay a small fee for access to advanced tools - everything from laser cutters and milling machines to 3D printers and AutoCAD software. All they have to bring is their creativity and some positive energy. Prototypes of new products that would have cost $100,000 in the past have been made in his shop for $1,000. The Maker Movement is where all the next great inventions and innovations are happening - and you can play a part in it. The Maker Movement Manifesto takes you deep into the movement. Hatch describes the remarkable technologies and tools now accessible to you and shares stories of how ordinary people have devised extraordinary products, giving rise to successful new business ventures. He explains how economic upheavals are paving the way for individuals to create, innovate, make a fortune - and even drive positive societal change - with nothing more than their own creativity and some hard work. It's all occurring right now, all around the world - and possibly in your own neighborhood. The creative spirit lives inside every human being. We are all makers. Whether you're a banker, lawyer, teacher, tradesman, or politician, you can play an important role in the Maker society. So fire up your imagination, read The Maker Movement Manifesto - and start creating! Praise for The Maker Movement Manifesto: It's the same revolutionary innovation model, but now applied to one of the biggest industries in the world-manufacturing. (Chris Anderson, CEO, 3D Robotics, and former Editor-in-Chief, Wired). He (Henry Ford) probably would have started in TechShop. (Bill Ford, Executive Chairman, Ford Motor Company, and great-grandson of Henry Ford). We are heading into a new age of manufacturing...Hatch has a front-row seat and has written the must-follow guide to democratize this new age. This is the book I wish every American would use. It contains the keys to the future of work and joy for everyone. (Robert Scoble, Startup Liaison Officer, Rackspace). TechShop is the garage that Thomas Edison wished he had, and thanks to Mark Hatch, it's open it to the public. This book is a lifeline to a country with a skills gap that threatens to swallow us all. For aspiring inventors and entrepreneurs, The Maker Movement Manifesto is a 'celebration in the making' - even if the only thing you make is a mess. (Mike Rowe, Dirty Jobs). Mark's book is pitch-perfect on why the Maker Movement is so important for our collective future. (Beth Comstock, CMO and SVP, GE).Bron : http://www.bol.com

Diffusion of innovations --- Technological innovations --- Economic aspects. --- Innovations, Diffusion of --- Acculturation --- Communication --- Culture diffusion --- Economic aspects --- Creativiteit --- Innovatie --- Technologie --- Economische ontwikkeling --- Verandering --- Communities --- Veranderingsmanagement --- Duurzaam ondernemen --- Duurzame ontwikkeling --- Community --- Musiceren --- Maatschappij

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Explore transformer-based language models from BERT to GPT, delving into NLP and computer vision tasks, while tackling challenges effectivelyKey Features- Understand the complexity of deep learning architecture and transformers architecture- Create solutions to industrial natural language processing (NLP) and computer vision (CV) problems- Explore challenges in the preparation process, such as problem and language-specific dataset transformation- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionTransformer-based language models such as BERT, T5, GPT, DALL-E, and ChatGPT have dominated NLP studies and become a new paradigm. Thanks to their accurate and fast fine-tuning capabilities, transformer-based language models have been able to outperform traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems.Aside from NLP, a fast-growing area in multimodal learning and generative AI has recently been established, showing promising results. Mastering Transformers will help you understand and implement multimodal solutions, including text-to-image. Computer vision solutions that are based on transformers are also explained in the book. You'll get started by understanding various transformer models before learning how to train different autoregressive language models such as GPT and XLNet. The book will also get you up to speed with boosting model performance, as well as tracking model training using the TensorBoard toolkit. In the later chapters, you'll focus on using vision transformers to solve computer vision problems. Finally, you'll discover how to harness the power of transformers to model time series data and for predicting.By the end of this transformers book, you'll have an understanding of transformer models and how to use them to solve challenges in NLP and CV.What you will learn- Focus on solving simple-to-complex NLP problems with Python- Discover how to solve classification/regression problems with traditional NLP approaches- Train a language model and explore how to fine-tune models to the downstream tasks- Understand how to use transformers for generative AI and computer vision tasks- Build transformer-based NLP apps with the Python transformers library- Focus on language generation such as machine translation and conversational AI in any language- Speed up transformer model inference to reduce latencyWho this book is forThis book is for deep learning researchers, hands-on practitioners, and ML/NLP researchers. Educators, as well as students who have a good command of programming subjects, knowledge in the field of machine learning and artificial intelligence, and who want to develop apps in the field of NLP as well as multimodal tasks will also benefit from this book's hands-on approach. Knowledge of Python (or any programming language) and machine learning literature, as well as a basic understanding of computer science, are required.Bron : https://www.amazon.nl/Mastering-Transformers-Journey-Language-Diffusion/dp/1837633789/ref=tmm_pap_swatch_0?_encoding=UTF8&dib_tag=se&dib=eyJ2IjoiMSJ9.muWRP1C28oDygQfg8rp-Dw.hCnBeo7xOZ5GS1WeoXrcHPpwJpTZxnwolUXWLAUBDFs&qid=1727078073&sr=8-1

Natural language processing (Computer science) --- Stable Diffusion --- Artificiële intelligentie --- Big Data --- Data-analyse --- Gegevensverwerking --- Beeldbewerking

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In The Dragonfly's Eye, 92-year-old author and filmmaker Alexander Kluge tests out the cooperative capacities of the Stable Diffusion model, which uses AI to process images. As a film-maker, he has many years of experience in dealing with the camera and its ways of seeing, which are unlike how a person sees. As a result, he is particularly curious about the different images that AI can generate. Kluge's essay in the book reflects on the idiosyncrasies of these new types of images, in which chance factors and errors create subjunctive forms, resulting in open images that are hard to place. Kluge establishes rules for using the “virtual camera” and thus contributes to a debate on how AI should be handled. In a series of stories combining images and text - ranging from cases of phantom pregnancy in East Germany via Philemon and Baucis to the mercenary Yevgeny Prigozhin - he examines how the “virtual camera” opens up a space in which stories can be told and imagined in a new way.

Stable Diffusion --- Artificiële intelligentie --- Big Data --- Data-analyse --- Gegevensverwerking --- Beeldbewerking --- Film (cinematografie) --- Storytelling