When Models Wander: Managing Drift in ML and LLM Systems
Aaron Wise
Model drift in ML and LLM systems demands continuous monitoring, evaluation, and retraining to keep outputs relevant and aligned with real-world changes.
Tag
AI fine-tuning
Articles
Grounding AI: Keeping Foundation Models Rooted in Reality
Aaron Wise
Grounding ensures AI outputs are factually accurate by linking them to real-world data, verified sources, and contextual truth.