Spark Scala Exercise 22: Custom Partitioning in Spark RDDsLoad Balancing and ShuffleImplementing a custom partitioner in Spark Scala enhances control over data distribution, improves performance in various scenarios, and optimizes task execution.
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AI models collapse when trained on recursively generated data - NatureThe development of large language models (LLMs) relies heavily on training data, and indiscriminately learning from data produced by other models can lead to 'model collapse.'