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Advancements in Artificial Intelligence are significantly notable, but what if there was a way to optimize the performance of these systems using little training data? This is now possible with retrieval-augmented fine-tuning (RAFT)—a novel strategy transforming the way AI and machine learning (ML) models are developed. RAFT fundamentally changes the ML training paradigm by integrating […]
