The term "Splits" is ambiguous without further context. It could refer to several technologies or concepts depending on the field. Here are a few possibilities: * **A/B Testing (Split Testing):** In marketing and web development, "splits" commonly refers to A/B testing, where different versions of a webpage or app feature are shown to different user groups to determine which performs better. This is used to optimize conversion rates, user engagement, and other metrics. * **Code Splitting:** In software development, this involves breaking down a large codebase into smaller, more manageable chunks that can be loaded on demand. This improves initial load times and overall application performance. * **Data Splitting:** In machine learning, this refers to partitioning a dataset into training, validation, and test sets. This is crucial for training and evaluating machine learning models effectively. * **Split payments:** Where a payment is split between multiple parties.
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