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
Your Gateway to the World of AI
Unlock the Architecture of Intelligence — Your Gat
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
Duración:00:00:15
Epigraph
Duración:00:00:13
Introduction
Duración:00:03:19
Section 1: Building Your First AI Model
Duración:00:00:05
Chapter 1.1: Introduction to AI and Its Applications
Duración:00:10:38
Chapter 1.2: Fundamentals of Building an AI Model
Duración:00:11:05
Chapter 1.3: Beginner's Guide to AI Model Development
Duración:00:10:07
Chapter 1.4: AI Model Building for Healthcare Applications
Duración:00:11:02
Chapter 1.5: AI Models for Financial Forecasting
Duración:00:10:37
Chapter 1.6: Natural Language Processing Models
Duración:00:10:44
Chapter 1.7: Computer Vision Model Development
Duración:00:10:46
Chapter 1.8: AI Model Optimization Techniques
Duración:00:10:15
Chapter 1.9: Tools and Frameworks for AI Model Building
Duración:00:10:36
Chapter 1.10: Ethical Considerations in AI Model Development
Duración:00:10:56
Chapter 1.11: Real-time AI Model Deployment Strategies
Duración:00:10:49
Chapter 1.12: Custom AI Models for Small Businesses
Duración:00:10:33
Section 2: Building Blocks of LLM
Duración:00:00:08
Chapter 2.1: Introduction to Large Language Models
Duración:00:10:09
Chapter 2.2: Data Collection and Preprocessing for LLMs
Duración:00:14:15
Chapter 2.3: Model Architecture Design for LLMs
Duración:00:14:34
Chapter 2.4: Fine-tuning Techniques for Domain-Specific LLMs
Duración:00:14:34
Chapter 2.5: Ethical Considerations in LLM Development
Duración:00:14:40
Chapter 2.6: Performance Evaluation Metrics for LLMs
Duración:00:14:19
Chapter 2.7: Deployment Strategies for Scalable LLMs
Duración:00:14:26
Chapter 2.8: Cost Management in Training Large Language Models
Duración:00:13:47
Chapter 2.9: Open Source Tools and Frameworks for LLM Development
Duración:00:13:49
Chapter 2.10: Managing Bias and Fairness in LLMs
Duración:00:14:19
Chapter 2.11: Future Trends in LLM Research and Development
Duración:00:14:28
Section 3: Generative AI Essentials
Duración:00:00:07
Chapter 3.1: Introduction to Generative AI
Duración:00:10:54
Chapter 3.2: Basics of Generative AI: Key Concepts and Terminology
Duración:00:11:05
Chapter 3.3: Applications of Generative AI in Creative Industries
Duración:00:10:35
Chapter 3.4: Ethical Considerations in Generative AI Development
Duración:00:11:39
Chapter 3.5: Generative AI Tools and Software for Beginners
Duración:00:10:25
Chapter 3.6: Understanding Machine Learning Models in Generative AI
Duración:00:10:39
Chapter 3.7: Case Studies of Successful Generative AI Projects
Duración:00:11:21
Chapter 3.8: Generative AI in Content Creation - Text, Images, and Beyond
Duración:00:10:56
Chapter 3.9: The Future of Generative AI - Trends and Predictions
Duración:00:10:50
Chapter 3.10: Practical Exercises for Learning Generative AI
Duración:00:10:22
Chapter 3.11: Comparing Generative AI with Traditional AI Techniques
Duración:00:11:14
Chapter 3.12: DeepSeek - The New Kid On The Block
Duración:00:04:36
Section 4: Autonomous Systems Governance
Duración:00:00:08
Chapter 4.1: Introduction to Autonomous Systems Governance
Duración:00:11:06
Chapter 4.2: Models for Accountability in AI
Duración:00:11:33
Chapter 4.3: Ethical and Transparent AI Systems
Duración:00:11:39
Chapter 4.4: Regulatory Compliance in AI Systems
Duración:00:11:34
Chapter 4.5: AI Bias Mitigation Strategies
Duración:00:11:21
Chapter 4.6: Ethical Frameworks for AI Development
Duración:00:12:00
Chapter 4.7: Transparency Standards for Machine Learning Models
Duración:00:11:53
Chapter 4.8: Governance Models for Autonomous Systems
Duración:00:11:28
Chapter 4.9: Accountability Mechanisms for AI Decision-Making
Duración:00:11:29
Chapter 4.10: Risk Assessment Tools for AI Applications
Duración:00:10:33
Chapter 4.11: Stakeholder Engagement in AI Ethics
Duración:00:11:24
Chapter 4.12: Auditing Processes for AI Systems
Duración:00:11:22
Chapter 4.13: Best Practices for Responsible AI Deployment
Duración:00:11:40
About The Author
Duración:00:00:47