Dexa/Practical AI

User Feedback Insights

Raza and Daniel discuss the importance of capturing user feedback to enhance AI applications. They clarify the distinction between fine tuning models and adjusting workflows, highlighting the significance of evaluation data for continuous improvement.

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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?