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)
00:00
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.
Transcript
Play full episode
