Automated Evaluation
An engineering practice in which the test set is run automatically after every change to a prompt or model and the metrics of the new and old versions are compared. It is the core method of regression testing for LLM applications.
Timeline (last 90 days)
Multiple developers in the community pointed out that the root of the LLM application iteration problem lies in the lack of benchmark datasets and automated evaluation.
The breaking points of automated evaluation include: LLM evaluators are lenient, judge partially correct answers poorly, are sensitive to prompt wording, miss small errors, and their agreement rates can mask low recall.
Automated evaluation can explore an agent without any prior information and run adversarial tests such as jailbreaks, prompt injection, and multi-turn pressure at scale, covering the OWASP LLM Top 10 and the agent application security checklist.
All Facts (3)
Multiple developers in the community pointed out that the root of the LLM application iteration problem lies in the lack of benchmark datasets and automated evaluation.
50%UnverifiedThe breaking points of automated evaluation include: LLM evaluators are lenient, judge partially correct answers poorly, are sensitive to prompt wording, miss small errors, and their agreement rates can mask low recall.
50%UnverifiedAutomated evaluation can explore an agent without any prior information and run adversarial tests such as jailbreaks, prompt injection, and multi-turn pressure at scale, covering the OWASP LLM Top 10 and the agent application security checklist.
50%