Navigating the World of Generative AI: A Guide to Essential Terminology
Learn the essential terms and concepts you need to know to navigate the rapidly evolving world of generative AI
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Generative AI is a fascinating and rapidly evolving field that has the potential to transform the way we interact with technology. However, with so much buzz and hype surrounding this topic, making sense of it all can be challenging. In this article, we’ll cut through the noise and gain a clear understanding of the essential terminology you need to know to navigate the world of generative AI.
According to a variety of sources, including McKinsey & Company and Vox Media, the critical difference between generative AI and other emerging technologies is that millions of people can — and already are — using it to create new content, such as text, photos, video, code, and 3D renderings, from data it is trained on. Recent breakthroughs in the field have the potential to drastically change the way we approach content creation. This has led to widespread excitement and some understandable apprehension about the potential for generative AI to impact virtually every aspect of society and disrupt industries, including media and entertainment, healthcare and life sciences, education, advertising, legal services, and finance.
“Even if your current role is not in technology, it is highly likely that generative AI will have a direct impact on both your personal and professional life.”
Even if your current role is not in technology, it is highly likely that generative AI will have a direct impact on both your personal and professional life. Familiarizing yourself with basic terminology related to generative AI can help you better comprehend the discussions on social media and in the news.
Terminology
Let’s explore the following terminology (in alphabetical order):
