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We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts at each layer. We stack two such layers, feeding the output of one layer to the next. We call the stacked architecture a Deep Language Network - DLN

License: MIT License

Shell 11.63% Python 88.29% Dockerfile 0.09%

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ayushj240 avatar dependabot[bot] avatar marccote avatar matheper avatar microsoft-github-operations[bot] avatar microsoftopensource avatar sordonia avatar

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