Open access
Aug 2026
Lightweight Llama Models with Experts’ Curated RAG for Electrical Engineering Education: An Exploratory Comparison
The results show that the proposed RAG agent substantially improves the lightweight base model and produces transparent, syllabus-grounded answers that experts rated as correct and concise, while GPT-4.5 retains an edge on longer, multistep, and topology-intensive tasks.
André Rocha, Paulo Oliveira, João Ferreira et al.
· Applied Sciences · 0 citations