From the course: Complete Guide to Evaluating Large Language Models (LLMs)
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From the course: Complete Guide to Evaluating Large Language Models (LLMs)
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- Welcome to lesson six, Evaluating LMM Fine-Tuning. Fine-tuning allows a model to specialize, but it's essential to evaluate how well that process aligns the model to the specific task at hand. The lesson will cover metrics for fine-tuning success, including loss functions, memory usage, and general speed. We'll discuss trade-offs, like overfitting and interpretability, ensuring that we can balance performance with reliability.
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