LLM Development and AI Ethics

The rapid evolution of AI, especially generative AI, presents both opportunities and critical challenges. This book addresses the urgent need for responsible AI development, focusing on safety, alignment, and robust governance. We explore how to navigate the complexities of AI, ensuring its benefits are harnessed while mitigating potential risks.

This book will cover the foundational concepts of AI, from ML to the cutting-edge of large language models (LLMs) and prompt engineering. Each chapter provides key insights into AI safety initiatives, governance frameworks, and the practical development of secure AI applications. You will learn how to approach AI with an ethical mindset, understanding the importance of interpretability, risk management, and the societal implications of AI advancements, all the way to contemplating the future of artificial general intelligence (AGI).

Upon completing this book, you will possess a comprehensive understanding of AI's current state and future trajectories. You will gain the knowledge to contribute to the responsible development and deployment of AI technologies, ready to engage in the crucial conversations shaping our AI-driven world.

WHAT YOU WILL LEARN
● Create generative AI applications for text, music, image, and video generation.
● Develop ML models and LLMs from scratch.
● Work towards advancing the field of AI safety and alignment.
● Build AI applications with AI governance and security.
● Create AI governance frameworks for your organizations.
● Develop better prompts for generative AI models using the prompt engineering techniques mentioned in the book.
● Build AI agents for workflow automation.
● Understand the latest trend in generative AI research and the current progress towards AGI.

WHO THIS BOOK IS FOR
This book is intended for technologists, researchers, business leaders, and AI enthusiasts. Even people with no technical knowledge can use the techniques described in this book to create generative AI applications for a variety of use cases in their organizations.

1. Introduction to Artificial Intelligence
2. Introduction to AI Safety and Alignment
3. Introduction to Generative AI
4. Developing Large Language Models
5. Prompt Engineering and Its Impact on AI Safety
6. AI Governance in the Age of Generative AI
7. Developing Generative AI Applications with Governance and Security
8. Towards Artificial General Intelligence

Ambuj Agrawal is a distinguished technology leader and innovator at the intersection of artificial intelligence and workflow automation. As the founder of ToGenAI and head of AI initiatives at Third Bridge Group Limited, he has established himself as a prominent expert in machine learning and advanced technological solutions. His professional expertise spans critical domains including machine learning, compiler design and enterprise level AI transformation strategies.

Recognized for his exceptional contributions, Ambuj has garnered multiple prestigious innovation awards from renowned institutions such as Imperial College London, Ministry of Justice UK, Citibank and University of Bristol. He is also one of the youngest recipients of "Exceptional Talent Visa in Digital Technology" from the UK Government for his groundbreaking work in compiler design and machine learning.

Beyond his corporate and technological achievements, Ambuj has established himself as a thought leader and influential speaker. He has delivered presentations at prominent international conferences including Money2020 Europe, Fin.Techsummit Europe, Future of Work Summit in London and the Automation Summit in Paris. His speaking engagements primarily focus on exploring the critical themes of AI, Automation and the evolving landscape of work in the digital era.

As an accomplished author, Ambuj has contributed significantly to technical literature having written comprehensive books on enterprise automation using Python and no-code artificial intelligence. These publications highlight his commitment to making advanced technological concepts accessible and practical for professionals and organizations seeking digital transformation.