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Core mathematical components that define how a model learns, including loss functions, reward logic, and optimization strategies, distinct from infrastructure by focusing on the learning objective.
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Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade