3aa71d84ce58580c2409 · Advancing Technical Language Processing and Large Language Models in Industrial Applications: Insights from TLP COI Events in 2024

{
  "title_en": "Advancing Technical Language Processing and Large Language Models in Industrial Applications: Insights from TLP COI Events in 2024",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2025-12-02",
  "date_original": "December 2, 2025",
  "url": "https://www.nist.gov/publications/advancing-technical-language-processing-and-large-language-models-industrial",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Michael Dawson , Sarah Lukens, Michael Sharp",
  "abstract_excerpt_en": "It remains challenging to integrate artificial intelligence (AI) and natural language processing (NLP) into complex engineering systems. Popular models and techniques are designed for use with everyday, non-technical text, and therefore perform poorly when",
  "id": "3aa71d84ce58580c2409",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Advancing Technical Language Processing and Large Language Models in Industrial Applications: Insights from TLP COI Events in 2024",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2025-12-02",
      "date_original": "December 2, 2025",
      "url": "https://www.nist.gov/publications/advancing-technical-language-processing-and-large-language-models-industrial",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Michael Dawson , Sarah Lukens, Michael Sharp",
      "abstract_excerpt_en": "It remains challenging to integrate artificial intelligence (AI) and natural language processing (NLP) into complex engineering systems. Popular models and techniques are designed for use with everyday, non-technical text, and therefore perform poorly when"
    }
  ],
  "translation_state": "none"
}