Tag: Generative AI

Latest Read: The Complete Obsolete Guide to Generative AI

Post author By Don Kasprzak
Post date February 19, 2025

The Complete Obsolete Guide to Generative AI by David Clinton.

David is an AWS Solutions Architect, Linux server administrator and author of many Linux and Amazon technologies.

The Complete Obsolete Guide to Generative AI is in fact actually fun to read. Yet at the same time David is delivering a practical introduction. To be fair, beyond his humor, David acknowledges the fluid pace of change in the AI marketplace. This has pushed ChatGPT, Copilot, and Claude to evolve ever so quickly that much of what the general public learns is soon outdated. His focus is to reveal the need for a constant understanding of Generative AI’s core concepts.

So, this book is providing readers with the general, bigger picture of tools and methods for creating text, code, and imaging, touches on the strategies for writing effective prompts. He is addressing all the topics the world has been hearing about.

This also dives into data analytics, training models on local devices or clouds, building custom AI models, and even insights to establish your own large language model. Exercises will help readers learn how generative AI can transform daily work tasks and communications, making Generative AI accessible to all rather than intimidating everyone.

Tags Artificial Intelligence, David Clinton, Generative AI

Artificial Intelligence Education Reading

Latest Read: Generative AI in Practice

Post author By Don Kasprzak
Post date May 3, 2024

Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society by Bernard Marr.

He holds degrees in business, engineering and information technology from the University of Cambridge and Cranfield School of Management. He has written several books and two that I have read include his 2015 release Big Data Using smart big data and his recent book Artificial Intelligence in Practice. That said, this book falls short. I feel this was a rushed effort to get into the Generative AI hype cycle.

So here, Bernard is focusing on Generative AI as the biggest advancement in technology in the history of the world and how ChatGPT is driving this new somewhat magic service. Actually the metrics seem to confirm: 10 million users within 30 days of launch and then a stunning 100 million within the next 60 days. Simply put, the fastest adoption of technology in the history of computing. But don’t forget the cost Bernard.

In the rush for all things Generative AI, this new subset of Machine Learning is driving the AI hype cycle even higher than many would conclude possible. Generative AI can of course create visual graphics, computer code, and music. Seems to be the ‘generative’ in Generative AI.

Tags AI hype cycle, Artificial Intelligence, bernard marr, Generative AI, Generative AI in Practice

Artificial Intelligence Education Reading

Latest Read: Generative AI : The Insights You Need

Post author By Don Kasprzak
Post date March 13, 2024

Generative AI: The Insights You Need from Harvard Business Review

The world discovered Generative AI in the beginning of 2023. ChatGPT introduced over 100 million users to the possibilities of Generative AI. In less than 18 months society has shifted. With Wall Street and Madison Avenue literally banking on new markets, business, education and our globally connected society are witnessing transformation. Microsoft’s $10 billion investment in OpenAI is perhaps the strongest indicator of what GenAI will be expecting to produce. However, there certainly remains a big hill to climb.

New AI startups are creating GenAI business models around generating text, images, code and even animation and video via Sora at rather amazing speeds. GenAI is certainly altering how humans create content on a scale and speed not previously understood by society, government, business and education. So get ready for disruption.

This book will help understand the baseline of GenAI and the potential to change the world. Yet for the organization who decides to jump right in, make sure you understand Chapter 3:?A Framework for Picking the Right Generative AI Project. AI is not the web and GenAI is not html. Organizations must understand risk. Just ask Samsung and you will quickly understand why tech companies are banning GenAI within their internal networks.

Tags Artificial Intelligence, Generative AI, Harvard Business Review