Artificial intelligence (AI) and, more specifically, generative AI (gen-AI) is in the news on an almost daily basis. The technology captivated society’s collective attention approximately 18 months ago with the release of ChatGPT, which garnered 100 million users in just two months, a feat that took social media giant Facebook two and a half years to accomplish.
Gen-AI creates new content automatically using AI (hence the modifier “generative”). The applicable uses range from jobs as simple as generating text and images to more complex tasks like creating music, videos and code. A gen-AI model that can mimic human language, art, mannerisms and thought processes is a powerful tool. Ultimately, this unleashes a new realm that can enable businesses to transform their work.
To build a Gen-AI system, the model needs to review enormous amounts of data. Thanks to the Internet, there is a seemingly infinite number of data sources (which is both a blessing and a curse). The AI must be fed this data so it can learn to identify patterns in and structures of the source material. In this way, it learns both about language and the world around us (e.g., what is a correctly constructed sentence or image), as well as how to converse.
Daniel Reichman
Ai-RGUS
10/14/2024
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