Książka Learn Python Generative AI Indrajit Kar

Learn Python Generative AI

Autor: Indrajit Kar
Język: Angielski
Oprawa: Miękka
Wydawca: BPB Publications
Dostępność: Dostępna u dostawcy
Wysyłamy za 9-15 dni
161.24
Learn to unleash the power of AI creativity This book researches the intricate world of generative...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2024
strony
350
EAN
9789355518972
ISBN
9355518978
Enbook ID
44792993
Waga
654
Wymiary
191 x 235 x 19

Pełny opis

Learn to unleash the power of AI creativity 


This book researches the intricate world of generative Artificial Intelligence, offering readers an extensive understanding of various components and applications in this field.


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.


WHAT YOU WILL LEARN

Acquire practical skills in designing and implementing various generative AI models.

Gain expertise in vector databases and image embeddings, crucial for image search and data retrieval.

Navigate challenges in healthcare, retail, and finance using sector specific insights.

Generate images and text with VAEs, GANs, LLMs, and vector databases.

Focus on both traditional and cutting edge techniques in generative AI.


WHO THIS BOOK IS FOR

This book is for current and aspiring emerging AI deep learning professionals, architects, students, and anyone who is starting and learning a rewarding career in generative AI. 





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