Meet LAMPP: A New AI Approach From MIT To Integrate Background Knowledge From Language Into Decision-Making Problems By Extracting Probabilistic Priors From Language Models

Common sense priors are essential to make decisions under uncertainty in real-world settings. Let’s say they want to give the scenario in Fig. 1 some labels. As a few key elements are recognized, it becomes evident that the image shows a restroom. This assists in resolving some of the labels for certain more difficult objects, … Continue reading Meet LAMPP: A New AI Approach From MIT To Integrate Background Knowledge From Language Into Decision-Making Problems By Extracting Probabilistic Priors From Language Models