✨
AI Summary
- Highlight that LLM output evaluation is more critical than prompts, context, and inputs
- Review traditional and modern metrics used to evaluate LLM outputs and feedback collection frameworks
- Emphasize that transparent eval processes and current state reporting are essential for LLM-driven systems