Understanding Generative AI Business Applications: A Guide to Technical Principles and Real-World Applications, 1st Edition

Understand the potential of Generative AI with "Understanding Generative AI Business Applications: A Guide to Technical Principles and Real-World Applications’, to learn the integral technical ideas appended with a wide range of Generative AI business applications which help to enhance creativity and productivity in your organization.

Divided into three comprehensive sections: The first refers to text based on acquired knowledge and experiences, and the second is based on a person's senses and rationale. For this reason, this book gives comprehensive information on the techniques and uses of Generative AI. Deep dive into the engineering of algorithms for efficient and intelligent text generation and use of transformer NLP and some sundry chatbots like GPT-4, Claude 2, and Google Bard.

Learn how NeRF, 3D Gaussian Splatting, Stable Diffusion, and other technologies in augmented reality and virtual reality work on the algorithmic and data levels. Enhance AI's decision-making capacities through Machine Learning and data-related schemes and approaches like simulation models, agents, and self-effaced systems.

Whether you're an AI professional or a business leader who wants to use creative automation, this guide, "Understanding Generative AI Business Applications: A Guide to Technical Principles and Real-World Applications,” guides applying Generative AI for organizational advantage.

Understanding Generative AI Business Applications: A Guide to Technical Principles and Real-World Applications Table of Contents:

1. Chapter 1: Introduction to Generative AI
2. Chapter 2: Core Technical Concepts
3. Chapter 3: The Business Case for Generative AI
4. Chapter 4: Text-Based Generative AI
5. Chapter 5: Understanding Transformer-Based NLP
6. Chapter 6: Exploring Chatbot Technologies
7. Chapter 7: Advanced Applications of Text-Based Generative AI
8. Chapter 8: Demystifying Sense-Based Generative AI
9. Chapter 9: In-Depth Exploration of Visual Algorithms and Computer Vision
10. Chapter 10: The Auditory and Multisensory Experience
11. Chapter 11: Autonomous AI Agents: Decision-Making, Data, and Algorithms
12. Chapter 12: Text-Based Generative Intelligent Agents: Beyond Traditional Chatbots and Virtual Assistants
13. Chapter 13: Applications and Real-World Case Studies
14. Chapter 14: Summarizing Key Insights
15. Chapter 15: The Evolving Landscape of Generative AI

Who is this course for?

1. Data scientists
2. Data analysts
3. Decision makers
4. Business executives

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