Learn Python Generative AI: Journey From Autoencoders to Transformers to Large Language Models
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- FormatePub
- ISBN978-93-5551-897-2
- EAN9789355518972
- Date de parution01/02/2024
- Protection num.Adobe DRM
- Infos supplémentairesepub
- ÉditeurBPB Publications
Résumé
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 FORThis 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.