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Episode 29: Lessons from a Year of Building with LLMs (Part 1)

Vanishing Gradients

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Debating the Merits of Fine-Tuning Models

The chapter explores differing opinions on the effectiveness and costs associated with fine-tuning models, emphasizing the importance of this process in specialized machine learning tasks. It also discusses the broader factors influencing the success of fine-tuning projects and the potential for automation to enhance model deployment efficiency.

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