Introduction to a community-driven open-source tool
Data Prep Kit is a community-driven project that simplifies unstructured data preparation for LLM application development. It addresses the growing challenge of preparing diverse data (language, code, vision, multimodal) for fine-tuning, instruction-tuning, and RAG applications.
Features
The kit provides a growing set of modules/transforms targeting laptop-scale to datacenter-scale processing.
- The data modalities supported today are: Natural Language and Code.
- The modules are built on common frameworks for Python, Ray and Spark runtimes for scaling up data processing.
- The kit provides a framework for developing custom transforms for processing parquet files.
- The kit uses Kubeflow Pipelines-based workflow automation.
The whole tool is accessible at IBM's public GitHub: https://github.com/IBM/data-prep-kit and ready to use examples are there to start with!
Happy data preparation 🚀
Top comments (0)