Large language models can be integrated into automated workflows to translate texts and update databases regularly. This involves retrieving untranslated product descriptions from an SQL database, translating them using the OpenAI API with custom prompts, and then saving the translated texts back into the database.
The process includes creating scripts for data retrieval, translation via the API, and updating the database, which are scheduled to run automatically on a daily basis. This automation reduces manual effort and ensures consistent updates in real-world applications.
Read the full article at Towards AI - Medium
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