In this panel discussion from the COSM technology conference, the panelists address the limits and possibilities of artificial intelligence (AI). George Montañez, an Assistant Professor of Computer Science, discusses generative AI models and how they work by encoding relations between text and images. He also mentions the phenomenon of model collapse, where AI systems degenerate when trained on their own Read More ›
AI is amazing. It is all the rage these days. Companies everywhere are jumping on the AI bandwagon. No one wants to be left behind when true believers are raptured to the mainframe in the sky. What makes the AI work? The AI works because of information it gained from a human generated dataset. Let’s label the dataset D. We can measure the information in the dataset with Shannon entropy. Represent the information with H(D). When we train an AI with this data, we are applying a mathematical function to the dataset. This function is the training algorithm. Labelling the training algorithm T, then we represent training as T(D). The outcome of training is a new AI model. The model generates new data. We Read More ›