Generative AI by T.V. Geetha (.ePUB)+
File Size: 10 MB
Generative AI by T.V. Geetha
Requirements: .ePUB, .PDF reader, 10 MB
Overview: Generative AI discusses the basics of Generative AI, classification and types of deep models, applications, tools, evaluation and ethical perspectives of Generative AI and hence enables learners to understand the mystic of generative AI from both academic and industry perspectives. An introduction on the connection between AI, Machine Learning, Deep Learning and Generative AI is explained. The mathematical foundations required to assimilate deep generative models and their classification are discussed next. The book then goes onto to discuss various Generative AI models including autoregressive models, variational autoencoders, generative adversarial networks, diffusion models, flow-based and energy based generative models and transformer models in detail. It also explains pre-trained language models and large language models (LLMs) including fine-tuning, prompt engineering and popular large language models such as GPT, BERT, T5, BART and EMO architectures. The book then discusses the varied applications of Generative AI text, audio, conversational, image and video models and domain based applications in healthcare, advertising and marketing, manufacturing, finance, media and entertainment and education. The book also outlines the various tools available. The book also gives an overview of evaluation of Generative AI and the ethical perspectives associated with Generative AI. In addition, many exercises and activities are included to enable the reader understand concepts and apply them to build meaningful applications using the latest techniques.
Genre: Non-Fiction > Tech & Devices
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