This chapter explores practical applications and key nuances of text classification using LLMs and SLMs. It compares how models like BERT and RoBERTa (LLMs) and DistilBERT and TinyBERT (SLMs) perform in different classification scenarios, including binary, multi-class, and multi-label tasks.

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Text Classification with LLMs and SLMs

  • Venkata Gunnu,
  • Shubham Shah,
  • Anvesh Minukuri,
  • Jayanth Gopu

摘要

This chapter explores practical applications and key nuances of text classification using LLMs and SLMs. It compares how models like BERT and RoBERTa (LLMs) and DistilBERT and TinyBERT (SLMs) perform in different classification scenarios, including binary, multi-class, and multi-label tasks.