Automated LLM-based Prompt Engineering for Structured Data Processing
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Updated
Oct 19, 2024 - Jupyter Notebook
Automated LLM-based Prompt Engineering for Structured Data Processing
Data automation involves automating the extraction, transformation, and loading (ETL) processes to streamline data workflows. GitHub Actions enables automated execution of tasks, such as building, testing, and deploying code, in response to events. This integration simplifies continuous deployment and ensures repeatable data pipeline operations
An automated data validation system for handgrip strength research, streamlining the processing and verification of measurement data across multiple Excel files.
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