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Our Journey with Apache Arrow (Part 2): Adaptive Schemas and Sorting

Hacker News

Likewise, a column with dictionary encoding that indexes a uint64 will occupy four times more memory than the same column with a dictionary encoding based on a uint8. To optimize such scenarios, we have adopted an intermediary approach that we have named dynamic Arrow schema, aiming to gradually adapt the schema based on the observed data.

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Use foundation models to improve model accuracy with Amazon SageMaker

AWS Machine Learning Blog

Fine-tuning is sometimes needed to deliver correct responses that are unique to your use case or body of knowledge. Based on these results, the question “Is this kitchen expensive” from the photo was more significant than “number of bedrooms” in the original tabular set, with feature importance values of 7.08

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