The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data

As an intriguing case is the goodness of the machine and deep learning models generated by these LLMs in conducting automated scientific data analysis, where a data analyst may not have enough expertise in manually coding and optimizing complex deep learning models and codes and thus may opt to leve...

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Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Gopali, Saroj, Siami-Namini, Sima, Abri, Faranak, Namin, Akbar Siami
Format:	Artikel
Sprache:	eng
Schlagworte:	Chatbots Data analysis Datasets Deep learning Generative artificial intelligence Large language models Machine learning Prediction models Predictions Time series
Online-Zugang:	Volltext
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