![]() ![]() ![]() Large language models like ChatGPT rely on text sources from various media, including books, magazines, social media, and newspapers. The data on which AI is trained is equally important. As a result, competitors of ChatGPT may use similar mathematical approaches and computational structures but with unique differences and twists that yield distinct outcomes. While AI is rooted in math, different teams may experiment with various techniques and tweaks to improve their models. ![]() According to Benjamin, the key differences between these models and ChatGPT, a widely known language model, lie in their computational architecture and the data on which they were trained.Ĭomputational architecture refers to the math and logic behind the system. One expert in the AI field, Victor Benjamin, an assistant professor of information systems, provides insights on these new models. As AI continues to advance, it will find its way into various goods and services, becoming a part of everyday life. Google, Meta (formerly Facebook), Microsoft, and other companies have released these models, signaling a growing and commoditized AI space. New language models in the field of artificial intelligence (AI) are now available to the public, researchers, and practitioners. ![]()
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