GUIDE · MODELS · #89
GitHub: How to evaluate LLMs before production
GitHub's blog published a post titled “How to evaluate LLMs before production” that describes lessons the team learned while evaluating large language models for a real-world secret-scanning system. The post is presented as practical guidance for assessing LLM behavior and suitability prior to deployment.
KEY POINTS
- GitHub's blog published a post titled “How to evaluate LLMs before production” that describes lessons the team learned while evaluating large language models for a real-world secret-scanning system.
- The post is presented as practical guidance for assessing LLM behavior and suitability prior to deployment.
- Practical evaluation guidance from a major platform can help teams better assess performance and risks of LLMs in sensitive production use cases like secret scanning.
WHY IT MATTERS
Practical evaluation guidance from a major platform can help teams better assess performance and risks of LLMs in sensitive production use cases like secret scanning.