What is LLM evaluation?
LLM evaluation is the process of measuring how well a large language model performs on specific tasks, datasets, and quality criteria.
Why is it important?
Because strong generic performance does not guarantee strong task-specific performance.
Who should be involved?
Ideally both technical teams and domain experts. Engineers can build the framework, but subject matter experts often define what quality really means.
What is the goal?
Not just to produce a score, but to make better decisions about what to deploy and how to improve it.
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