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Fast Inference with Hassan El Mghari

Software Huddle

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Mastering Model Fine-Tuning

This chapter explores the essential steps and techniques in fine-tuning machine learning models to enhance their performance for specific tasks. It contrasts LoRa and full fine-tuning methods, discusses data requirements, and underscores the significance of reliability in model evaluations.

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