Remove 01 python-output-formatting
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Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

AWS Machine Learning Blog

Finally, we run the SQL using Athena and generate output. Here, the output is presented to the user. Set up the SDK for Python (Boto3). medium instance with the Python 3 (Data Science) kernel. format('parquet').option('path', For the sake of architectural simplicity, we did not show this step.

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Transform customer engagement with no-code LLM fine-tuning using Amazon SageMaker Canvas and SageMaker JumpStart

AWS Machine Learning Blog

Prepare your dataset SageMaker Canvas requires a prompt/completion pair file in CSV format because it does supervised fine-tuning. This allows SageMaker Canvas to learn how to answer specific inputs with properly formatted and adapted outputs. SageMaker Canvas automatically scans it for any formatting issues.

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