Видавець: 24

Generał SS

Sven Hassel

Przetłumaczona na 25 języków i sprzedana w 53 milionach egzemplarzy odnowiona seria skandynawskich bestsellerów! Ósma część serii 27. Pułk Pancerny, częściowo opartej na autobiografii autora. To obraz straszliwej wojny ukazany z perspektywy jednostki - żołnierza, który nie walczy o ideały, lecz o przeżycie. Przeszywający mróz, głód i skrajne wyczerpanie. Dookoła pokryty śniegiem rosyjski step. Sven, Porty, Legionista i pozostali żołnierze toczą bitwę o Stalingrad pod wodzą tytułowego generała SS, znanego z okrucieństwa i bezwzględności. Rozkazy były jasne: walczyć do ostatniego pocisku. Nadzieja na przeżycie opuszczała każdego. Podczas walki o Stalingrad co minutę ginął jeden niemiecki żołnierz. Bohaterowie cyklu pochodzą z różnych warstw społecznych, są różnej narodowości, lecz łączy ich jedno - nadzieja na przeżycie. Wojna u Hassela to brutalne szaleństwo pozbawione celu, a okupione krwią żołnierzy - zwyczajnych ludzi. Jeżeli jesteś fanem "Na zachodzie bez zmian" Ericha Marii Remarque'a, to jest to zdecydowanie lektura dla Ciebie! Utwór ma charakter publikacji historycznej napisanej językiem charakterystycznym dla czasów, z których pochodzi. Powieść została opublikowana po raz pierwszy w 1969 roku.

Generał zemsty

Witold Horwath

Rok 2004. W podwarszawskim Konstancinie, przy słynnej ścieżce zdrowia w lesie chojnowskim, policja po anonimowym telefonie odnajduje zwłoki dwóch amerykańskich turystek. Do śledztwa włącza się rezydentura FBI. Atrakcyjna porucznik Hanah Torres w duecie z polskim komisarzem Andrzejem Kuleszą ruszają tropem psychopatycznego mordercy, który w okrutny sposób zabija kolejne ofiary. Podczas odkrywania przez śledczych brutalnych kart popełnionych przez seryjnego zbrodni, szybko się okaże, że Hanah i Andrzeja oprócz spraw zawodowych łączą rodzinne koligacje sprzed dziesięcioleci, a także - narastające uczucie. "Generał zemsty" to książka dla Czytelnika, który lubi połączenie misternie utkanego kryminału, trzymającego w napięciu thrillera i romansu ze zjawiskami paranormalnymi w tle.

Generating Creative Images With DALL-E 3. Create accurate images with effective prompting for real-world applications

Holly Picano

Unveil the extraordinary capabilities of the groundbreaking AI model, DALL-E 3, as it transforms text prompts into accurate images. This book addresses the challenge of creating meaningful images by writing prompts, guiding you step by step through creating stunning visual art regardless of your skill level.Prepare to delve deep into the inner workings of DALL-E 3's architecture and training process. With clear explanations, practical tutorials, and real-world examples that can be easily applied, you’ll unlock secrets to creating awe-inspiring AI-generated art, from fine art prints to digital designs. This book provides comprehensive insights into various lens options, camera angles, lighting techniques, and art movements, helping you integrate AI capabilities with your artistic skills. You’ll also learn to create NFTs that can be monetized and gain invaluable insights into designing compelling covers, all within the ethical boundaries of AI-generated art. And with the invaluable prompt cheat sheet by your side, you’ll hone your skills in formulating captivating prompts for diverse purposes.By the end of this book, you’ll have learned how to produce generative AI art at a rapid pace and relatively low cost and push the boundaries of imagination with DALL-E 3.

Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras

Josh Kalin

Developing Generative Adversarial Networks (GANs) is a complex task, and it is often hard to find code that is easy to understand.This book leads you through eight different examples of modern GAN implementations, including CycleGAN, simGAN, DCGAN, and 2D image to 3D model generation. Each chapter contains useful recipes to build on a common architecture in Python, TensorFlow and Keras to explore increasingly difficult GAN architectures in an easy-to-read format. The book starts by covering the different types of GAN architecture to help you understand how the model works. This book also contains intuitive recipes to help you work with use cases involving DCGAN, Pix2Pix, and so on. To understand these complex applications, you will take different real-world data sets and put them to use.By the end of this book, you will be equipped to deal with the challenges and issues that you may face while working with GAN models, thanks to easy-to-follow code solutions that you can implement right away.

Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras

Kailash Ahirwar

Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain.Generative Adversarial Network Projects begins by covering the concepts, tools, and libraries that you will use to build efficient projects. You will also use a variety of datasets for the different projects covered in the book. The level of complexity of the operations required increases with every chapter, helping you get to grips with using GANs. You will cover popular approaches such as 3D-GAN, DCGAN, StackGAN, and CycleGAN, and you’ll gain an understanding of the architecture and functioning of generative models through their practical implementation.By the end of this book, you will be ready to build, train, and optimize your own end-to-end GAN models at work or in your own projects.

Generative AI Application Integration Patterns. Integrate large language models into your applications

Juan Pablo Bustos, Luis Lopez Soria, Dr....

Explore the transformative potential of GenAI in the application development lifecycle. Through concrete examples, you will go through the process of ideation and integration, understanding the tradeoffs and the decision points when integrating GenAI.With recent advances in models like Google Gemini, Anthropic Claude, DALL-E and GPT-4o, this timely resource will help you harness these technologies through proven design patterns.We then delve into the practical applications of GenAI, identifying common use cases and applying design patterns to address real-world challenges. From summarization and metadata extraction to intent classification and question answering, each chapter offers practical examples and blueprints for leveraging GenAI across diverse domains and tasks. You will learn how to fine-tune models for specific applications, progressing from basic prompting to sophisticated strategies such as retrieval augmented generation (RAG) and chain of thought.Additionally, we provide end-to-end guidance on operationalizing models, including data prep, training, deployment, and monitoring. We also focus on responsible and ethical development techniques for transparency, auditing, and governance as crucial design patterns.

Generative AI Art. Unleash Your Creativity with Generative AI Art for Beginners

Oliver Theobald

The course introduces the basic concepts of artificial intelligence and its application in art, making it accessible even to those without a technical background. This foundation paves the way for exploring the nuances of effective prompt crafting, a critical skill for generating bespoke AI artwork.The course focuses on hands-on demonstrations with leading AI art software, including Craiyon and Midjourney, offering step-by-step guides to harness these tools effectively. Through practical examples, learners will understand how to navigate image prompts, masking techniques, framing, and lighting to enhance the visual appeal of their creations. The significance of navigating these elements is underscored, highlighting their role in achieving consistency and originality in AI-generated art.The course wraps up by delving into the remixing of popular art styles, the art of creating compelling text prompts, and the critical aspects of image rights, ethics, privacy, and originality in the digital art space. By concluding with recommended resources, learners are equipped to continue their journey in AI art, fueled by inspiration and a solid understanding of the field's possibilities and responsibilities.

Generative AI for Cloud Solutions. Architect modern AI LLMs in secure, scalable, and ethical cloud environments

Paul Singh, Anurag Karuparti, John Maeda

Generative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms.This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements.By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.