Solving a machine-learning mystery
MIT researchers found that massive neural network models that are similar to large language models are capable of containing smaller linear models inside their hidden layers, which the large models could train to complete a new task using simple learning algorithms. Large language models like OpenAI’s GPT-3 are massive neural networks that can generate human-like text, from poetry to programming c
Recognizing correct code | MIT News
“One of the most intriguing aspects of this research is that we’ve found that there are indeed universal properties of correct code that you can learn from one set of applications and apply to another set of applications,” Martin Rinard says. MIT researchers have developed a machine-learning system that can comb through repairs to open-source computer programs and learn their general properties, i
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Removing reflections from photos taken through windows
