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                     Name any 2 domains of AI.







                  Data Science
                  Data science in AI refers to the process of collecting, analysing, and interpreting large sets

                  of data to enable AI systems to learn, make predictions, and improve their performance. It
                  involves using various techniques, such as statistics, mathematics, and computer science, to
                  extract meaningful insights from data.



































                  In AI, data science is essential because AI systems need data to learn. For example, if you want
                  an AI to recognise images of cats, you need to provide it with a lot of pictures of cats. The AI

                  uses data science techniques to analyse these images, learn the patterns that define a cat, and
                  then use that knowledge to identify cats in new images.




                                Brainy Fact

                     Developed by scientists at DAMO Academy, Alibaba's global research program, the
                     Alibaba model scored 0.54 in the MS Marco question-answering task, which evaluates

                     a machine's ability to use natural language that topped the human score of 0.539.





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