A team of researchers recently released data about “a deep-learning model that can achieve approximately human-level performance,” in coding called AlphaCode. Could this model create code on par or better than humans? According to researchers, it isn’t likely. They say the system – developed by DeepMind, a subsidiary of Google parent company Alphabet – may assist experienced coders, but “probably cannot replace them,” per a report this week in the Science journal . However, Armando Solar-Lezama, head of the computer assisted programming group at the Massachusetts Institute of Technology, said “it’s very impressive, the performance they’re able to achieve on some pretty challenging problems.” According to a study about AlphaCode published Wednesday, the model was developed using “self-supervised learning and an encoder-decoder transformer architecture,” and it performed well on the Codeforces platform. This platform regularly hosts computer programming competitions. These competitions “are popular tests among programmers that require critical thinking informed by experience and creating solutions to unforeseen problems, both<\/p>\n","protected":false},"excerpt":{"rendered":"
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