Scaling Challenges
The discussion highlights critical issues in the field, particularly the challenges posed by scaling efforts. Overfitting on limited data sets and a lack of rigor are emphasized as significant obstacles that can hinder progress. These concerns become even more pronounced when operating at larger scales.In this clip
From this podcast

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569
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