Generative AI Applications and Industries
Following up on my previous blog, “The Rise of Generative AI: How Machines are Learning to Create,” we are diving deeper into this fascinating realm and exploring the specific applications of generative AI across top sectors, from healthcare to manufacturing. But before that, let’s quickly recap what generative AI is and why it holds such promise.
What is Generative AI? (Brief Refresh)
Generative AI refers to a subset of artificial intelligence focused on the creation of new content, be it in the form of text, images, music, or even more complex outputs like synthetic data and 3D designs. It accomplishes this through sophisticated models that learn the hidden patterns and structures in the data they’re trained on, then apply that learning to generate something entirely new yet coherent and contextually relevant.
Key models underpinning generative AI include Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based language models like GPT-4. With these models, we’re pushing the boundaries of AI creativity, unlocking a myriad of possibilities across industries.
Generative AI stands uniquely significant because it doesn’t just automate tasks or make predictions — it creates. It is this creative capacity that allows generative AI to…
