{"product_id":"generative-ai-with-python-and-pytorch-building-llms-diffusion-models-multimodal-systems-or-enterprise-grade-generative-ai-applications-9798265850638","title":"Generative AI with Python and Pytorch: Building LLMs, Diffusion Models, Multimodal systems, or Enterprise-grade Generative AI applications","description":"\u003cp\u003e • Author(s): Husn Ara\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Generative AI\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eGenerative AI with Python and Pytorch \u003c\/i\u003e\u003c\/b\u003eis a comprehensive guide for anyone who wants to understand, build, and deploy generative AI systems in real-world contexts. Written for engineers, data scientists, and AI practitioners, this book takes you from the \u003cb\u003ecore concepts of generative modeling\u003c\/b\u003e all the way to advanced architectures and enterprise applications.\u003c\/p\u003e\u003cp\u003eThe book begins with the \u003cb\u003efoundations of generative AI\u003c\/b\u003e, introducing tokens, embeddings, and latent spaces, along with essential mathematical tools like probability, distributions, and optimization. From there, readers move into \u003cb\u003eneural network fundamentals\u003c\/b\u003e before diving into the architectures that revolutionized AI - \u003cb\u003eautoencoders, variational autoencoders (VAEs), generative adversarial networks (GANs), transformers, and diffusion models\u003c\/b\u003e. Each architecture is explained in detail with \u003cb\u003ePython code examples\u003c\/b\u003e, giving readers hands-on experience with implementation.\u003c\/p\u003e\u003cp\u003eIn the middle sections, the book covers \u003cb\u003elarge language models (LLMs)\u003c\/b\u003e, including pretraining, fine-tuning, tokenization, and alignment strategies such as reinforcement learning with human feedback (RLHF). It also explores \u003cb\u003emultimodal generative AI\u003c\/b\u003e, where text, images, audio, and video converge in state-of-the-art models like CLIP, Flamingo, Gemini, and GPT-4. The \u003cb\u003escaling laws and infrastructure chapter\u003c\/b\u003e guides readers through efficient training, GPU\/TPU clusters, model parallelism, and cost optimization, making this book highly practical for engineers building at scale.\u003c\/p\u003e\u003cp\u003ePart IV moves into \u003cb\u003eindustry applications and case studies\u003c\/b\u003e, showcasing how generative AI powers chatbots, virtual assistants, content generation, AI art and design, code generation (e.g., GitHub Copilot), and \u003cb\u003esynthetic data for computer vision and medical imaging\u003c\/b\u003e. It also demonstrates groundbreaking use cases in \u003cb\u003edrug discovery, healthcare AI, finance, and risk modeling\u003c\/b\u003e, showing how generative models are accelerating innovation across industries.\u003c\/p\u003e\u003cp\u003eThe final part of the book addresses \u003cb\u003eethics, safety, and the future of generative AI\u003c\/b\u003e. Topics include bias in generative systems, responsible use, AI governance, and adversarial risks like deepfakes and model jailbreaking. Engineers will also gain insight into \u003cb\u003eemerging research trends\u003c\/b\u003e such as multimodal agents, reasoning systems, continual learning, privacy-preserving AI, and the debate between \u003cb\u003eopen-source vs. proprietary models\u003c\/b\u003e. Perspectives on \u003cb\u003eArtificial General Intelligence (AGI)\u003c\/b\u003e and alignment research round out the book, giving readers a forward-looking roadmap.\u003c\/p\u003e\u003cp\u003ePacked with \u003cb\u003eclear explanations, detailed diagrams (described in-text), and runnable Python code\u003c\/b\u003e, this book equips generative AI engineers with both the theoretical foundations and the practical skills to innovate responsibly. Whether you're building \u003cb\u003eLLMs, diffusion models, multimodal systems, or enterprise-grade generative AI applications\u003c\/b\u003e, this guide will accelerate your journey.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46332799844503,"sku":"9798265850638","price":2763.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798265850638.webp?v=1768667794","url":"https:\/\/atlanticbooks.com\/products\/generative-ai-with-python-and-pytorch-building-llms-diffusion-models-multimodal-systems-or-enterprise-grade-generative-ai-applications-9798265850638","provider":"Atlantic Books","version":"1.0","type":"link"}