Model Trade-offs
A discussion unfolds around the trade-off between model speed and accuracy, emphasizing the importance of deploying smaller, faster models for real-time applications. The conversation highlights the evolution of natural language processing, from sparse bag-of-words models to the current era of large transformer models, and speculates on the future advancements expected in the next five to ten years, particularly through scaling model size.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 583: The State of Natural Language Processing — with Rongyao Huang
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