Generative AI with Python

Description

Generative AI with Python

Transform imagination into autonomous code. Generative AI with Python bridges the gap between static data analysis and creative machine intelligence. This comprehensive guide equips developers, data scientists, and AI researchers with the practical tools needed to build, train, and deploy models capable of generating text, images, and sophisticated synthetic data.

Note: This is a digital product. A secure download link will be sent to your email address immediately after payment.

What You Will Learn:

• Generative Modeling Foundations: The fundamental principles of probabilistic modeling, Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs).
• Natural Language Synthesis: Mastering Transformer architectures to build and fine-tune large language models (LLMs) for custom text generation.
• Visual Asset Creation: Practical implementation of Diffusion models and Stable Diffusion for high-fidelity image synthesis and manipulation.
• Production Deployment: Advanced techniques for optimizing generative models for real-world applications, including API integration and prompt engineering.

Key Topics:

• Generative Adversarial Networks (GANs) and StyleGAN.
• Variational Autoencoders (VAEs) for latent space exploration.
• The Transformer Architecture and Self-Attention mechanisms.
• Fine-tuning Pre-trained Models (GPT, Llama, BERT).
• Diffusion Models and Latent Diffusion.
• Ethical AI: Managing Bias and Ensuring Safe Generation.

Who This Book is For: This text is designed for Python developers, machine learning engineers, and researchers who want to move beyond discriminative models and master the cutting edge of creative AI. It is an essential resource for professionals looking to lead the next wave of innovation in synthetic media and automated content generation.

Product Details:

Format: Digital PDF Download

Author: Bert Gollnick

Publisher: Rheinwerk Publishing, Incorporated

Edition: New

Publication Date: May 28, 2025

ISBN-13: 9781493226900

ISBN-10: 1493226908