2 papers
cs.LG2025
LLMs for energy and macronutrients estimation using only text data from 24-hour dietary recalls: a parameter-efficient fine-tuning experiment using a 10-shot prompt
Rodrigo M Carrillo-Larco
BACKGROUND: Most artificial intelligence tools used to estimate nutritional content rely on image input. However, whether large language models (LLMs) can accurately predict nutrit…
cs.LG2025
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring
Gusseppe Bravo-Rocca, Peini Liu, Jordi Guitart +3
Monitoring Machine Learning (ML) models in production environments is crucial, yet traditional approaches often yield verbose, low-interpretability outputs that hinder effective de…