Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Maximizing Efficiency in Machine Learning Through Advanced Hyperparameter Tuning
This chapter examines the shortcomings of conventional hyperparameter tuning in machine learning and promotes energy-efficient alternatives such as Bayesian optimization. It emphasizes the necessity of incorporating these techniques into popular deep learning frameworks and encourages community involvement for enhanced knowledge sharing.
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