Dexa/Gradient Dissent - A Machine Learning Podcast

Fine Tuning Debate

Lukas and Dave discuss the relevance of fine tuning in machine learning amidst the rapid evolution of models. They delve into the balance of resource allocation and the need to constantly test and update models to stay ahead in the field.

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Gradient Dissent - A Machine Learning Podcast
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Related Questions
- Can you explain the differences between fine-tuning and training models, specifically LLMs vs custom model applications, and when to use each in the context of the episodes Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167 and Fine-tuning Models as well as the episode Navigating Machine Learning Careers: Insights from Meta to Consulting // Ilya Reznik // #286 and the clip Fine Tuning Insights?