Most people associate generative AI (GenAI) with large language models (LLMs). While LLMs focus specifically on generating text, GenAI encompasses a wider range of content generation tasks beyond just language, including images, music and more. Broadly speaking, GenAI uses machine learning algorithms to analyze and learn from existing data sets
In recent years, generative AI and AI chatbots like ChatGPT have ignited a flurry of conversation on college and university campuses. We’ve been talking about it a lot at SAS, too, and for good reason – generative artificial intelligence has garnered significant attention due to its considerable promise and possible risks.
Large language models (LLMs) are at the forefront of today’s AI, not merely as technological marvels but as transformative agents reshaping how businesses innovate, operate and deliver value. Think of them as the wizards of words, capable of understanding language and transforming it in ways that benefit organizations. However, as
