Dexa/Practical AI

Fine Tuning Insights

Raza discusses the unexpected decrease in fine tuning since the launch of human loop back in 2022. He highlights the power of prompt engineering and the shift towards retrieval augmented generation for adapting models to specific use cases.

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Practical AI
Collaboration & evaluation for LLM apps
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?