Building A Comprehensive AI Model
Marc Stanford
This audiobook is narrated by a digital voice.
BUILDING A COMPREHENSIVE AI MODEL is your guide to navigating the exciting and rapidly evolving world of AI development. Whether you're a beginner curious about creating your first AI model, a professional exploring advanced language model techniques, or an enthusiast intrigued by generative AI, this book is designed to equip you with the knowledge and tools you need to succeed.
Artificial Intelligence (AI) has become the defining technology of our era, reshaping industries, driving innovation, and transforming the way we interact with the world. From healthcare diagnostics to self-driving cars, AI models lie at the heart of these advancements, solving complex problems and unlocking unprecedented possibilities. Yet, for many, building and understanding AI models can seem daunting. This book is here to change that.
Marc Stanford organized the book into four sections, each delving into a specific aspect of AI model development:
Each chapter combines practical knowledge, technical insights, and real-world examples to make AI model development accessible and impactful. Whether you’re just starting or seeking to refine your expertise, this book offers a roadmap to mastering AI tools and techniques.
Let this book be your companion in building intelligent systems that solve problems, enhance the world around us, and, while doing so, help us further expand our minds' boundaries. The journey to understanding and harnessing AI’s potential begins now!
Duration - 9h 20m.
Author - Marc Stanford.
Narrator - Digital Voice Maxwell G.
Published Date - Thursday, 23 January 2025.
Copyright - © 2025 NuovoNova Ltd. ©.
Location:
United States
Networks:
Marc Stanford
Digital Voice Maxwell G
Unlock the Architecture of Intelligence — Your Gat
Your Gateway to the World of AI
NuovoNova Ltd.
English Audiobooks
INAudio Audiobooks
Description:
This audiobook is narrated by a digital voice. BUILDING A COMPREHENSIVE AI MODEL is your guide to navigating the exciting and rapidly evolving world of AI development. Whether you're a beginner curious about creating your first AI model, a professional exploring advanced language model techniques, or an enthusiast intrigued by generative AI, this book is designed to equip you with the knowledge and tools you need to succeed. Artificial Intelligence (AI) has become the defining technology of our era, reshaping industries, driving innovation, and transforming the way we interact with the world. From healthcare diagnostics to self-driving cars, AI models lie at the heart of these advancements, solving complex problems and unlocking unprecedented possibilities. Yet, for many, building and understanding AI models can seem daunting. This book is here to change that. Marc Stanford organized the book into four sections, each delving into a specific aspect of AI model development: Each chapter combines practical knowledge, technical insights, and real-world examples to make AI model development accessible and impactful. Whether you’re just starting or seeking to refine your expertise, this book offers a roadmap to mastering AI tools and techniques. Let this book be your companion in building intelligent systems that solve problems, enhance the world around us, and, while doing so, help us further expand our minds' boundaries. The journey to understanding and harnessing AI’s potential begins now! Duration - 9h 20m. Author - Marc Stanford. Narrator - Digital Voice Maxwell G. Published Date - Thursday, 23 January 2025. Copyright - © 2025 NuovoNova Ltd. ©.
Language:
English
Title Page
Duration:00:00:15
Epigraph
Duration:00:00:13
Introduction
Duration:00:03:19
Section 1: Building Your First AI Model
Duration:00:00:05
Chapter 1.1: Introduction to AI and Its Applications
Duration:00:10:38
Chapter 1.2: Fundamentals of Building an AI Model
Duration:00:11:05
Chapter 1.3: Beginner's Guide to AI Model Development
Duration:00:10:07
Chapter 1.4: AI Model Building for Healthcare Applications
Duration:00:11:02
Chapter 1.5: AI Models for Financial Forecasting
Duration:00:10:37
Chapter 1.6: Natural Language Processing Models
Duration:00:10:44
Chapter 1.7: Computer Vision Model Development
Duration:00:10:46
Chapter 1.8: AI Model Optimization Techniques
Duration:00:10:15
Chapter 1.9: Tools and Frameworks for AI Model Building
Duration:00:10:36
Chapter 1.10: Ethical Considerations in AI Model Development
Duration:00:10:56
Chapter 1.11: Real-time AI Model Deployment Strategies
Duration:00:10:49
Chapter 1.12: Custom AI Models for Small Businesses
Duration:00:10:33
Section 2: Building Blocks of LLM
Duration:00:00:08
Chapter 2.1: Introduction to Large Language Models
Duration:00:10:09
Chapter 2.2: Data Collection and Preprocessing for LLMs
Duration:00:14:15
Chapter 2.3: Model Architecture Design for LLMs
Duration:00:14:34
Chapter 2.4: Fine-tuning Techniques for Domain-Specific LLMs
Duration:00:14:34
Chapter 2.5: Ethical Considerations in LLM Development
Duration:00:14:40
Chapter 2.6: Performance Evaluation Metrics for LLMs
Duration:00:14:19
Chapter 2.7: Deployment Strategies for Scalable LLMs
Duration:00:14:26
Chapter 2.8: Cost Management in Training Large Language Models
Duration:00:13:47
Chapter 2.9: Open Source Tools and Frameworks for LLM Development
Duration:00:13:49
Chapter 2.10: Managing Bias and Fairness in LLMs
Duration:00:14:19
Chapter 2.11: Future Trends in LLM Research and Development
Duration:00:14:28
Section 3: Generative AI Essentials
Duration:00:00:07
Chapter 3.1: Introduction to Generative AI
Duration:00:10:54
Chapter 3.2: Basics of Generative AI: Key Concepts and Terminology
Duration:00:11:05
Chapter 3.3: Applications of Generative AI in Creative Industries
Duration:00:10:35
Chapter 3.4: Ethical Considerations in Generative AI Development
Duration:00:11:39
Chapter 3.5: Generative AI Tools and Software for Beginners
Duration:00:10:25
Chapter 3.6: Understanding Machine Learning Models in Generative AI
Duration:00:10:39
Chapter 3.7: Case Studies of Successful Generative AI Projects
Duration:00:11:21
Chapter 3.8: Generative AI in Content Creation - Text, Images, and Beyond
Duration:00:10:56
Chapter 3.9: The Future of Generative AI - Trends and Predictions
Duration:00:10:50
Chapter 3.10: Practical Exercises for Learning Generative AI
Duration:00:10:22
Chapter 3.11: Comparing Generative AI with Traditional AI Techniques
Duration:00:11:14
Chapter 3.12: DeepSeek - The New Kid On The Block
Duration:00:04:36
Section 4: Autonomous Systems Governance
Duration:00:00:08
Chapter 4.1: Introduction to Autonomous Systems Governance
Duration:00:11:06
Chapter 4.2: Models for Accountability in AI
Duration:00:11:33
Chapter 4.3: Ethical and Transparent AI Systems
Duration:00:11:39
Chapter 4.4: Regulatory Compliance in AI Systems
Duration:00:11:34
Chapter 4.5: AI Bias Mitigation Strategies
Duration:00:11:21
Chapter 4.6: Ethical Frameworks for AI Development
Duration:00:12:00
Chapter 4.7: Transparency Standards for Machine Learning Models
Duration:00:11:53
Chapter 4.8: Governance Models for Autonomous Systems
Duration:00:11:28
Chapter 4.9: Accountability Mechanisms for AI Decision-Making
Duration:00:11:29
Chapter 4.10: Risk Assessment Tools for AI Applications
Duration:00:10:33
Chapter 4.11: Stakeholder Engagement in AI Ethics
Duration:00:11:24
Chapter 4.12: Auditing Processes for AI Systems
Duration:00:11:22
Chapter 4.13: Best Practices for Responsible AI Deployment
Duration:00:11:40
About The Author
Duration:00:00:47