ScienceHacker Noonabout 11 hours ago
Fine-Tuning Transformers vs. Few-Shot LLMs for Bangla NLP
4 min read
A study compares fine-tuning transformer models against few-shot large language models for Bangla natural language processing tasks. The research includes political sentiment analysis using pre-trained language models, with implementations made publicly accessible. The work covers corpus creation, model fine-tuning, and performance evaluation.
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