par 1 Introduction to Multimodal Generative AI
1.1 Introduction
1.2 AI Evolution
1.3 Inspiration for Game Theory
1.4 Early AI: Chatbots Beginnings
1.5 Building Generative AI Models
1.6 Language Modelling and Evolution
1.7 Importance of GPU Innovation
1.8 Debates Held on Generative AI
1.9 Inovations
1.9.1 Generative Models
1.9.2 Fusion and Alignment Strategies
1.9.3 Applications and Use Cases
1.9.4 Challenges and Future Directions
1.10 Evolution of Generative AI Models
1.10.1 Enhancing GAN and VAE Quality
1.10.2 Improving GAN Learning Stability
1.11 Architechtural Improvements
1.11.1 Deep Convolutional GANs (DCGANs)
1.11.2 Progressive GANs (PGANs)
1.11.3 Ethical Points to Remember
1.12 Introduction of the Open Source Generative AI Index (GenOS)
1.12.1 Community Contribution and Open-Source Projects
1.12.2 Index Criteria and Subcategories
1.12.3 Obstacles and Prospective Paths
1.13 Ethical Problems with Generative AI
1.14 Copyright Challenges in AI Content
1.14.1 Evolution of Generative AI Development on GitHub
1.14.2 Tools for Using Generative AI for Style Transfer..
