Cultural shift toward AI-augmented work With 65% of employees reporting intentional use of AI for work, the focus is shifting toward integrating AI capabilities into everyday tasks. Success ...
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Abstract: Machine learning requires large amounts of data to improve model performance. However, preparing them is costly, so data augmentation is often used to generate new data from existing data.
Abstract: Fine-tuning of Large Language Models (LLMs) for downstream tasks, performed on domain-specific data has shown significant promise. However, commercial use of such LLMs is limited by the high ...
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