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Automated first-pass archival metadata creation using LLMs and controlled vocabularies.
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39
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Adding an example of a two issue test so that others can see our results.
14c53a7View on GitHubIncrease max_tokens to 4000 for problem cases in batch cleanup
dd3cb94View on GitHubFixed chronological term extraction methods and updated model name to gpt-4o-mini for steps 3 and 4
9b453d0View on GitHubFix batch failure detection logic and update model reference in scripts
63535e1View on GitHubRefactor model names and input folder; enhance user prompts and error handling
3e9b366View on GitHubRefactor model name usage to use DEFAULT_MODEL constant; update README
cec1c9dView on GitHubRefactor comments for clarity; update model name in main function for specificity
b100675View on GitHubRefactor vocabulary processing for cleaner output; update README for clarity on workflow steps and directory structure; adjust requirements to remove outdated entries.
b9905d0View on GitHubConsolidate JSON parsing and post-processing functions across multiple scripts.
d79aa5cView on GitHub