Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...

As humans have come to rely on artificial intelligence to make decisions traditionally performed by bureaucrats and institutions, it is necessary to understand the ways in which various forms of ...

For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...