
Fast Inference with Hassan El Mghari
Software Huddle
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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