Fine Tuning Models
Fine tuning allows for the adaptation of large models with minimal data, enabling domain-specific applications. The discussion highlights the significant computational demands of these models, particularly the need for specialized hardware like GPUs to handle extensive calculations efficiently. This approach remains prevalent among data scientists and machine learning engineers, emphasizing the importance of both model size and processing power in real-time applications.In this clip
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