{"product_id":"140053","title":"Hands-on generative AI ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYGWrzyfGISfQsImP5jPN0LEjRrIQ.png?v=1765077960\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Hands-on generative AI \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/148025270\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eGenerative AI: Beyond Theory, into Practice\u003cbr\u003e Master GenAI Practical Implementation in One Book with Hugging Face Core Developers\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e The author who developed the Hugging Face Core personally implements the latest technology to resolve the gap between theory and practice and the thirst for technology.\u003cbr\u003e Beyond propulsion engineering, it explores the internal structure of transformers and diffusion models, allowing you to understand the core principles of generative AI and learn by implementing cutting-edge technologies yourself. \u003cbr\u003eIt covers the main structure and operation of generative AI, focusing on transformers and diffusion models, and provides an in-depth explanation of how multimodal models that generate images, text, and audio work and how to utilize them.\u003cbr\u003e\u003cbr\u003e It organizes core concepts such as autoencoders, CLIP, and U-Net, and is structured so that you can learn both concepts and implementation through various project-centered exercises ranging from text generation, conditional image generation, and audio generation.\u003cbr\u003e In particular, you can practice directly without complicated settings by utilizing the environment based on Hugging Face and Google Colab, and you can also implement the latest technologies such as Stable Diffusion, Dreambooth, and LoRA step by step. \u003cbr\u003eIt also introduces transfer learning techniques required for practical applications, from text classification, generation, and directive-based fine-tuning to Augmented Augmentation Generation (RAG) implementation, along with actual code. In addition to creative application examples such as inpainting, image editing, and control nets, it also examines the development trends of the latest generative AI technologies such as multimodality, 3D vision, and video generation.\u003cbr\u003e For developers seeking to apply generative AI in practice, this book will serve as a comprehensive, systematic guide, covering everything from technical principles to implementation and application.\u003cbr\u003e\u003cbr\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e \",\"\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003e[Part 1: Utilizing the Open Model]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 1: Introduction to Generative Media\u003cbr\u003e _1.1 Image Creation\u003cbr\u003e _1.2 Text Generation\u003cbr\u003e _1.3 Creating a sound clip\u003cbr\u003e _1.4 Ethical and Social Impacts\u003cbr\u003e _1.5 Past and Present of Generation Models\u003cbr\u003e _1.6 How to develop a generative AI model\u003cbr\u003e _1.7 Summary\u003cbr\u003e\u003cbr\u003e Chapter 2 Transformers\u003cbr\u003e _2.1 Language Model Utilization Cases \u003cbr\u003e_2.2 Transformer Block\u003cbr\u003e _2.3 Transformer Model Lineage\u003cbr\u003e _2.4 The Power of Pre-Learning\u003cbr\u003e _2.5 Transformers Summary\u003cbr\u003e _2.6 Text generation project using language models\u003cbr\u003e _2.7 Summary\u003cbr\u003e _Practice Problems\u003cbr\u003e _Challenge\u003cbr\u003e _References\u003cbr\u003e\u003cbr\u003e Chapter 3 Information Compression and Representation\u003cbr\u003e _3.1 Autoencoder\u003cbr\u003e _3.2 Variational Autoencoder\u003cbr\u003e _3.3 CLIP\u003cbr\u003e _3.4 Alternatives to CLIP\u003cbr\u003e _3.5 Semantic-Based Image Retrieval Project\u003cbr\u003e _3.6 Summary\u003cbr\u003e _Practice Problems\u003cbr\u003e _Challenge\u003cbr\u003e _References\u003cbr\u003e\u003cbr\u003e Chapter 4 Diffusion Model\u003cbr\u003e _4.1 Core Principle: Iterative Refinement\u003cbr\u003e _4.2 Diffusion Model Learning\u003cbr\u003e _4.3 In-depth analysis of noise schedules\u003cbr\u003e _4.4 In-Depth Analysis of U-Net and Alternatives\u003cbr\u003e _4.5 In-depth analysis of diffusion goals\u003cbr\u003e _4.6 Unconditional Diffusion Model Learning Project\u003cbr\u003e _4.7 Summary\u003cbr\u003e _Practice Problems\u003cbr\u003e _Challenge\u003cbr\u003e _References\u003cbr\u003e\u003cbr\u003e Chapter 5 Stable Diffusion and Conditional Generation\u003cbr\u003e _5.1 Adding Conditions for the Conditional Diffusion Model\u003cbr\u003e _5.2 Potential Diffusion to Increase Efficiency\u003cbr\u003e _5.3 In-Depth Analysis of Stable Diffusion Components\u003cbr\u003e _5.4 Annotated sampling loop\u003cbr\u003e _5.5 Open Data, Open Model \u003cbr\u003e_5.6 Creating an Interactive Machine Learning Demo with Gradio Project\u003cbr\u003e _5.7 Summary\u003cbr\u003e _Practice Problems\u003cbr\u003e _Challenge\u003cbr\u003e _References\u003cbr\u003e\u003cbr\u003e \u003cb\u003eTransfer Learning for Generative Models Part 2\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 6: Fine-Tuning Language Models\u003cbr\u003e _6.1 Text Classification\u003cbr\u003e _6.2 Text Generation\u003cbr\u003e _6.3 Instructions\u003cbr\u003e _6.4 Adapter Introduction\u003cbr\u003e _6.5 Introduction to Quantization\u003cbr\u003e _6.6 Integrated Implementation\u003cbr\u003e _6.7 Deeper Understanding of Evaluation Methods\u003cbr\u003e _6.8 Search Augmentation Generation Project\u003cbr\u003e _6.9 Summary\u003cbr\u003e _Practice Problems\u003cbr\u003e _Challenge\u003cbr\u003e _References\u003cbr\u003e\u003cbr\u003e Chapter 7 Stable Diffusion Fine Tuning\u003cbr\u003e _7.1 Stable Diffusion Full Model Fine Tuning\u003cbr\u003e _7.2 Dream Booth\u003cbr\u003e _7.3 LoRA Learning\u003cbr\u003e _7.4 Adding new features to stable diffusion\u003cbr\u003e _7.5 SDXL Dreambooth LoRA Learning Project\u003cbr\u003e _7.6 Summary\u003cbr\u003e _Practice Problems\u003cbr\u003e _Challenge\u003cbr\u003e _References\u003cbr\u003e\u003cbr\u003e \u003cb\u003e[Part 3: Moving on]\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Chapter 8: Creative Use of Text-to-Image Models\u003cbr\u003e _8.1 Image-to-Image Conversion\u003cbr\u003e _8.2 Inpainting\u003cbr\u003e _8.3 Editing prompt weights and images\u003cbr\u003e _8.4 Editing real images with inversion\u003cbr\u003e _8.5 ControlNet \u003cbr\u003e_8.6 Image Prompting and Image Transformation\u003cbr\u003e _8.7 Creative Drawing Creation Project\u003cbr\u003e _8.8 Summary\u003cbr\u003e _Practice Problems\u003cbr\u003e _References\u003cbr\u003e\u003cbr\u003e Chapter 9: Audio Generation\u003cbr\u003e _9.1 Audio Data\u003cbr\u003e _9.2 Speech-to-text conversion using a transformer-based architecture\u003cbr\u003e _9.3 Text to speech, generated audio\u003cbr\u003e _9.4 Audio Generation System Evaluation\u003cbr\u003e _9.5 Future Development Direction\u003cbr\u003e _9.6 End-to-End Dialogue System Project\u003cbr\u003e _9.7 Summary\u003cbr\u003e _Practice Problems\u003cbr\u003e _Challenge\u003cbr\u003e _References\u003cbr\u003e\u003cbr\u003e Chapter 10: Advances and Recent Trends in Generative AI\u003cbr\u003e _10.1 Preference Optimization\u003cbr\u003e _10.2 Long Context\u003cbr\u003e _10.3 Expert Mix\u003cbr\u003e _10.4 Optimization and Quantization\u003cbr\u003e _10.5 data\u003cbr\u003e _10.6 A single model that solves everything\u003cbr\u003e _10.7 Computer Vision\u003cbr\u003e _10.8 3D Computer Vision\u003cbr\u003e _10.9 Video Creation\u003cbr\u003e _10.10 Multi-modality\u003cbr\u003e _10.11 Community\u003cbr\u003e\u003cbr\u003e APPENDIX A.\u003cbr\u003e open source tools\u003cbr\u003e APPENDIX B. LLM Memory Requirements\u003cbr\u003e APPENDIX C.\u003cbr\u003e End-to-end search augmentation generation\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e \",\"\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate5407\/MidCate003\/540622650.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e \",\"\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e  \u003cdiv\u003e\n\u003cb\u003eA cutting-edge practical guide to generative AI, complete with hands-on exercises that design the inside and outside of models.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e \"Hands-On Generative AI\" is a hands-on guide designed to help you understand the core principles of generative AI, implement them yourself, and apply them in practice.\u003cbr\u003e We will explain key technologies such as transformers, autoencoders, and diffusion models, and learn the entire process of generating diverse multi-modal data such as text, images, and audio, along with actual code.\u003cbr\u003e\u003cbr\u003e The first part of the book explains the concepts and basic structure of generative AI and introduces methods for generating text and images using pre-trained models.\u003cbr\u003e The second half covers fine-tuning techniques based on transformers and diffusion models, RAG implementation, and practical examples utilizing cutting-edge technologies such as LoRA and Dreambooth, helping you gain a deeper understanding of the principles of generative AI. \u003cbr\u003eThe second half presents various strategies for applying generative AI in practice, with creative use cases such as audio generation, conditional image generation, and text-to-image applications.\u003cbr\u003e We also cover the latest developments and trends in the field of generative AI, helping you grow into a responsible developer who utilizes generative AI technology.\u003cbr\u003e Through this book, you will gain a solid understanding of generative AI, from its fundamentals to its practical applications, and further strengthen your development capabilities to keep pace with the latest technological trends.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e Who is this book for?\u003cbr\u003e ● Developers who want to deeply understand the operating principles of generative AI models\u003cbr\u003e ● Those who want to go beyond simple API calls and directly fine-tune a model suitable for a specific domain\u003cbr\u003e Researchers and engineers who want to build their own generative models using the Hugging Face ecosystem.\u003cbr\u003e ● LLM, those who have read the latest papers on diffusion models but are having difficulty implementing them in actual code\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e \"]\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n \u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003eGOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e June 30, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 472 pages | 1,086g | 183*235*24mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791169213981\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1169213987 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893396602922,"sku":"140053","price":51.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/11dc37565565ee08bd18af68bab31dcc.jpg?v=1765400092","url":"https:\/\/librairie.coreenne.fr\/en\/products\/140053","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}