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Generative AI HandBook

The Generative AI Handbook, authored by James Mane, provides a practical introduction to the concepts, technologies, and applications of Generative Artificial Intelligence. It explores key topics including Large Language Models, Transformer Architecture, Prompt Engineering, Retrieval-Augmented Generation, and AI model customization. The handbook introduces different generative models and explains how they create text, images, audio, video, and computer code. It examines real-world applications of Generative AI across education, healthcare, finance, business, marketing, and software development. It also emphasizes responsible AI practices, safety, and effective prompting techniques to help readers understand and apply Generative AI effectively.

File: Generative AI HandBook.docx.pdf Size: 450.0 KB 1 downloads ₵50.00
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