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2023

AutoML-GPT: Large Language Model for AutoML

Tsai, Yun-Da, Tsai, Yu-Che, Huang, Bo-Wei et al.

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With the emerging trend of GPT models, we have established a framework called AutoML-GPT that integrates a comprehensive set of tools and libraries.

This framework grants users access to a wide range of data preprocessing techniques, feature engineering methods, and model selection algorithms.
Through a conversational interface, users can specify their requirements, constraints, and evaluation metrics.
Throughout the process, AutoML-GPT employs advanced techniques for hyperparameter optimization and model selection, ensuring that the resulting model achieves optimal performance.

AutoML-GPT: Large Language Model for AutoML · Around

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Efficient and robust automated machine learning
Feurer, M., Klein, A., Eggensperger, K., Springenberg, J., Blum, M., and Hutter, F · 2015
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Language models are few-shot learners
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al · 2020
Earlier work this paper cites.

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