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  1. Red Hat Enterprise Linux AI
  2. RHELAI-3947

Working with Large Datasets/Subset Selection

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    • RHELAI-3904 - SDG Summit Goals [Use Cases]
    • RHELAI-3904SDG Summit Goals [Use Cases]

      Notebook: Showing how to ingest large datasets, focusing on best practices to create qna.yaml and run subset selection for a real world use case With expanded model support, we now support Llama as a teacher which can support multilingual use cases. Notebook to demonstrate how to generate data for native language document

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              kiktam Kimberly Tam
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