Automating Model Training
Automation is transforming the landscape of machine learning, allowing practitioners to utilize pre-trained models effectively with minimal data. By leveraging existing research and infrastructure, individuals can quickly test various approaches, such as ensemble methods, to optimize performance for tasks like classification and natural language processing. The decreasing costs of infrastructure further empower this shift towards efficiency and ease in model training.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AutoML for Natural Language Processing with Abhishek Thakur - #475
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