An introduction to fine-tuning language models. Learn when fine-tuning is the right approach versus prompt engineering or RAG, how to prepare high-quality training data, and best practices for training and evaluating fine-tuned models. The course covers practical techniques for adapting pre-trained models to specific domains, tasks, or writing styles.

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