Generative AI & Large Language Models: Concepts, Architectures, Applications, and Deployment
English | January 2, 2026 | ASIN: B0GDRY8KTX | 82 pages | Epub | 1.49 MB
Generative Artificial Intelligence is transforming how humans create, learn, decide, and innovate. From intelligent chatbots and virtual assistants to breakthroughs in healthcare, education, and law, Large Language Models (LLMs) are redefining the boundaries of machine intelligence. This comprehensive book provides a structured, end-to-end exploration of Generative AI and LLMs , starting from foundational concepts and progressing to advanced architectures, real-world applications, deployment strategies, and future directions. Designed to align with UG and PG syllabi , the book bridges the gap between theory, implementation, and industry practice . Key topics include: Foundations of Artificial Intelligence and Generative Models Transformer architecture and attention mechanisms Large Language Models such as GPT, BERT, and LLaMA Training, fine-tuning, and prompt engineering Retrieval-Augmented Generation (RAG) and multimodal AI Diffusion models and text-to-image systems Bias, hallucination, explainability, and responsible AI Chatbots, virtual assistants, and domain-specific applications LLM deployment, MLOps, scaling, monitoring, and optimization Future trends and ethical governance of Generative AI With clear explanations, case studies, industry insights, and ethical perspectives , this book serves as a textbook, reference guide, and practical handbook for students, educators, researchers, and professionals aiming to understand and build next-generation AI systems.
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