In a four-part series, the evolution of generative AI is explored. This series delves into the scientific and technological developments that transformed artificial neurons into the powerful large language models that we see today in apps like ChatGPT.
The first episode focuses on the concept of intelligence and how it relates to both human and artificial intelligence. It examines how machines can be programmed to mimic human-like intelligence, and how this has led to advancements in fields such as natural language processing and computer vision.
In the second episode, the process of how machines learn is explored in detail. The episode looks at how artificial neurons can be used to find patterns in data, and examines the mathematics behind this process. Listeners will gain a deeper understanding of how machine learning works, and how it is being used to improve our daily lives.
The third episode explores the innovations that have propelled the field of artificial intelligence forward. It looks at big datasets and specialized computer chips that have transformed the field of computer science, and discusses their impact on AI research. Listeners will learn about cutting-edge technologies that are revolutionizing AI, and what they mean for our future.
Finally, in the fourth episode, what made AI models generative is highlighted. This includes an overview of ChatGPT’s human-like text capabilities and its creative skills that are transforming various industries. The podcast concludes with a discussion on how AI is shaping our world for better or worse, and what steps we can take to ensure its responsible development.
The podcast is available on Apple Podcasts and Spotify, with a live event held on Thursday April 4th to answer questions about AI. Listeners can submit their questions at economist.com/aievent, with podcast transcripts available upon request at [email protected] for improved accessibility.
Overall, this series offers listeners a comprehensive look at the evolution of generative AI from a scientific perspective while also exploring its practical applications across different industries such as healthcare, finance etc., providing insights into both technical advancements as well as ethical implications related to AI’s use cases making it unique among other articles available online or offline media outlets.
