Prompt Engineering for Small Language Models: Evaluating ICL for Portuguese Sentiment Analysis
The In-Context Learning (ICL) paradigm enables adapting LLMs without parameter tuning. This work evaluates the impact of prompt engineering on 9B models for Brazilian Portuguese sentiment classification, comparing six prompting formats (fewand zero-shot) across three linguistically diverse models (Gemma2-9B-it, Boto-9B...
André da F. Schuck, G. Garcia, J. R. Manesco et al.
· Brazilian Symposium in Infor... · 0 citations