LLM Revolution: Necessity or Excess? A Study of the Most Efficient Solutions
summary
Compares large language models (LLMs) with lighter-weight alternatives for text classification, analyzing when LLMs are necessary versus when simpler models perform as well. Presents empirical study results and criteria for choosing efficient solutions in NLP tasks such as text classification.
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chapters (8)
- 0:00Introduction
- 1:51ATECO classification problem
- 3:14Initial BERT approach and limits
- 5:21LLM issues and prompting solution
- 8:33Python code demo
- 12:44Practical example: beach bar
- 14:50Writing effective prompts
- 16:56Q&A
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