Scientists from MIT, Google Research, and Stanford University, led by Ekin Akyürek, have 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. The study demonstrates […] Via Techgenyz https://www.techgenyz.com
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