How to Evaluate Large Language Models Properly in Generative AI
How to Evaluate Large Language Models Properly
Evaluation is often ignored by beginners. But in production, evaluation defines trust.
1) Automatic Metrics
- Perplexity
- BLEU
- ROUGE
- Accuracy
2) Human Evaluation
Many generative tasks require manual review. Quality cannot always be measured by numbers alone.
3) Enterprise Evaluation
- Response correctness
- Hallucination rate
- Latency
- Cost per request
4) Summary
A model is not good because it is large. It is good because it performs reliably under evaluation.
