Friday, 17 January 2020
One of the prime challenges of a language-based AI model is to understand the context of the surrounding content. To solve this problem, Google has introduced a new model called Reformer, which understands the context of 1 million lines using just 16GB space. The company built this to solve problems of its old model Transformer — a neural network that compares words in a paragraph to each other to understand the relationship between them. Current models, support understanding of a few lines or paragraphs before and after the text in focus. However, as it uses pair matching, Transformer takes a…
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