Essentials of Generative AI

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English | 2025 | ISBN: 9819600286 | 236 Pages | PDF EPUB (True) | 25 MB
The first part explains the foundational technologies and architectures that support the realization of generative models. It covers evolved and deepened elements, word embeddings as a representative example of representation learning, and the Transformer as a network foundation, along with its underlying attention mechanism. Reinforcement learning, which became essential for elevating large-scale language models to language generation models, is also discussed in detail, focusing on essential aspects.