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Fine Tuning Insights
Raza emphasizes the impact of prompt engineering on model outputs and data accuracy. He likens fine tuning to compilation for optimizing models. The discussion delves into the trends and challenges of fine tuning adoption in AI development for 2024.
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In this clip
Raza Habib
Daniel Whitenack
From this podcast
Practical AI
Collaboration & evaluation for LLM apps
Related Questions
Why should a model be fine-tuned as discussed in the episode Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167 and the clip Fine-tuning Models?
