Advice for traditional ML engineers pivoting to LLMs
vboykis · x · 2026-09-02
For practitioners with a decade of traditional DS/ML experience (e.g., XGBoost, Bayesian, time series), Viviana Boykis suggests leveraging old skills in the new world of model evaluation. Recommended study includes revisiting Transformer architecture, attention mechanisms, prompting, and focusing heavily on how modern model results are evaluated.
Related event: How Veteran ML Engineers Can Transition to LLMs(4 posts)→
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