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Get better outputs by crafting precise prompts with clear instructions and examples.
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Use Retrieval-Augmented Generation to add context and improve model accuracy.
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Personalize your model by training it on targeted data for specific tasks.
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Enhance performance by fine-tuning key settings like learning rate and batch size.
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Shrink your model with compression and pruning to deploy on limited-resource devices.