TLDR Tech / InfoSec
How to Evaluate LLMs Before Production
GitHub developed an LLM evaluation framework to address challenges in accurately assessing LLM performance for production workloads, specifically for secrets scanning. The framework advises defining the product decision, ensuring offline experiments use representative datasets with single variables, utilizing error analysis and LLM-as-judge systems to guide human review, and then promoting validated experiments to production.
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