Learn Python Generative AI
eBook Details:
- Paperback: 348 pages
- Publisher: WOW! eBook (February 1, 2024)
- Language: English
- ISBN-10: 9355518978
- ISBN-13: 978-9355518972
eBook Description:
Learn Python Generative AI: Journey from autoencoders to transformers to large language models. Learn to unleash the power of AI creativity.
This Learn Python Generative AI book researches the intricate world of generative Artificial Intelligence, offering readers an extensive understanding of various components and applications in this field.
- Understand the core concepts related to generative AI.
- Different types of generative models and their applications.
- Learn how to design generative AI neural networks using Python and TensorFlow.
The Learn Python Generative AI 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.
- 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.
Readers will find themselves equipped with a profound understanding of generative AI, its current applications, and its boundless potential for future innovations.