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GitHub - beowolx/rensa: High-performance MinHash implementation in Rust with Python bindings for economical similarity estimation and deduplication of large datasets: High-performance MinHash implementation in Rust with Python bindings for efficient similarity estimation and deduplication of large datasets - beowolx/rensa

LingOly Problem Introduces: A completely new LingOly benchmark is addressing the evaluation of LLMs in Innovative reasoning involving linguistic puzzles. With more than a thousand complications presented, leading types are attaining under 50% accuracy, indicating a robust problem for recent architectures.

Debates to the accountability of tech providers making use of open datasets along with the exercise of “AI data laundering”.

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GitHub - beowolx/rensa: High-performance MinHash implementation in Rust with Python bindings for productive similarity estimation and deduplication of large datasets: High-performance MinHash implementation in Rust with Python bindings for economical similarity estimation and deduplication of large datasets - beowolx/rensa

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