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This chapter provides code examples for data evaluation and validation, introducing two approaches: traditional coding and large language model-based approaches. This chapter provides a concrete example of the limitations of large language models (LLMs), particularly in terms of reliability for numerical tasks. Researchers are advised to critically evaluate LLM outputs and consider traditional programming techniques for tasks that require numerical accuracy.

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Data Evaluation and Validation

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Diana Garcia Quevedo,
  • Josue Kuri

摘要

This chapter provides code examples for data evaluation and validation, introducing two approaches: traditional coding and large language model-based approaches. This chapter provides a concrete example of the limitations of large language models (LLMs), particularly in terms of reliability for numerical tasks. Researchers are advised to critically evaluate LLM outputs and consider traditional programming techniques for tasks that require numerical accuracy.