LinguAML is an innovative project that combines the power of Large Language Models (LLMs) with traditional automated machine learning (AML) techniques, with a primary focus on tuning machine learning models for various tasks. By intaegrating LLMs' capabilities into the AML workflow, LinguAML aims to enhance the performance and efficiency of machine learning models, specifically by automating the process of hyperparameter tuning.
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The Anaconda environment is specified in the file environment.yml.
One can create the environment via the command:
conda env create -f environment.yml