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Navigating Machine Learning Careers: Insights from Meta to Consulting // Ilya Reznik // #286

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Navigating Fine-Tuning in Machine Learning

This chapter explores the intricacies of fine-tuning machine learning models, revealing the potential pitfalls and the contrasting effectiveness of prompt engineering. It emphasizes the importance of relevant data selection and how specialized fields may require unique adaptations to achieve optimal performance.

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