
AutoML for Natural Language Processing with Abhishek Thakur - #475
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating NLP and AutoML Advances
This chapter explores lessons learned in Natural Language Processing and AutoML, focusing on methodologies like AutoNLP for binary classification and the significance of model selection and hyperparameter tuning. It compares the performance of AutoNLP against handcrafted models while discussing practical insights from transformer applications in summarization and translation tasks. The chapter emphasizes the value of blending academic resources with practical experimentation to enhance understanding of complex machine learning concepts.
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