Learn Python Generative AI journey from autoencoders to transformers to large languaje models
The book begins with an in-depth analysis of generative models, providing a solid foundation and exploring their combination nuances. It then focuses on enhancing TransVAE, a variational autoencoder, and introduces the Swin Transformer in generative AI. The inclusion of cutting edge applications lik...
| Otros Autores: | , |
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| Formato: | Otros |
| Idioma: | Inglés |
| Publicado: |
India :
BPB Publications
[2024]
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca de la Universidad Pontificia de Salamanca: | https://koha.upsa.es/cgi-bin/koha/opac-detail.pl?biblionumber=953023 |
Solicitar por préstamo interbibliotecario:
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| Formulario
| Sumario: | The book begins with an in-depth analysis of generative models, providing a solid foundation and exploring their combination nuances. It then focuses on enhancing TransVAE, a variational autoencoder, and introduces the Swin Transformer in generative AI. The inclusion of cutting edge applications like building an image search using Pinecone and a vector database further enriches its content. The narrative shifts to practical applications, showcasing GenAI's impact in healthcare, retail, and finance, with real-world examples and innovative solutions. In the healthcare sector, it emphasizes AI's transformative role in diagnostics and patient care. In retail and finance, it illustrates how AI revolutionizes customer engagement and decision making. The book concludes by synthesizing key learnings, offering insights into the future of generative AI, and making it a comprehensive guide for diverse industries.
Readers will find themselves equipped with a profound understanding of generative AI, its current applications, and its boundless potential for future innovations. |
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| Descripción Física: | XXIII, 324 páginas |
| ISBN: | 9789355518972 |
