Can we teach Large Language Models to speak CF-NetCDF?

Is it possible to train a Large Language Model (LLM) to understand and become an expert in the metadata structure of CF-NetCDF files? Could we create AI agents to advise on best practice, fix bugs, check compliance and even generate new CF-NetCDF files? The presentation explores this theme.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-18
DOI
https://doi.org/10.5281/zenodo.14160853
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

Can we teach Large Language Models to speak CF-NetCDF?

Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
article

Can we teach Large Language Models to speak CF-NetCDF?

article en

Abstract

Is it possible to train a Large Language Model (LLM) to understand and become an expert in the metadata structure of CF-NetCDF files? Could we create AI agents to advise on best practice, fix bugs, check compliance and even generate new CF-NetCDF files? The presentation explores this theme.

Zenodo (CERN European Organization for Nuclear Research)
Science and Technology Facilities Council (GB), National Centre for Atmospheric Science (GB)
Openalex Percentile: Top 68%
Topic Modeling
DOIOpen Access PDFOpenAlex
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Can we teach Large Language Models to speak CF-NetCDF? · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS