Bunka streamlines the exploration and refining of training datasets using advanced visualizations backed by cognitive sciences. It focuses on improving data quality through cluster analysis, reducing outliers and redundancy, while enhancing model performance and compliance with regulatory standards based on superior data integrity. Bunka offers a modular technology that adapts to various frameworks, making it suitable for machine learning professionals looking to analyze text quality metrics like perplexity and toxicity. Additionally, Bunka engages in open-source contributions to keep its technology current and effective in enhancing data quality.
• engagement with the ai community and open-source projects
• modular technology compatible with various frameworks
• analysis of text quality metrics
• fully customizable dimensional layers
• visual topic modelling for improved data quality
• advanced cluster analysis for outlier removal
• intuitive visualization using cognitive science maps
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