Building Baseline Models
The discussion highlights the evolution of natural language processing models, emphasizing the importance of establishing a baseline model before deploying large language models (LLMs). While historical constraints dictated simpler models with limited data, LLMs have shifted this paradigm, allowing for effective performance even with smaller datasets. Starting with a heuristic approach can provide valuable insights, but transitioning to more advanced models like logistic regression is recommended for nuanced applications.In this clip
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Super Data Science: ML & AI Podcast with Jon Krohn
847: AI Engineering 101 — with Ed Donner
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