How to Evaluate Large Language Models Properly
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.
