Optimal Methods and Metrics for LLM Evaluation and Testing

Optimal Methods and Metrics for LLM Evaluation and Testing

Publish Date: June 12, 2024

Discover key strategies for Large Language Model (LLM) testing, including continuous monitoring, human assessments, and effective use of MLOps. Learn to choose the right tools for comprehensive LLM evaluation and enhance model reliability with QASource.

QA Metrics That Matter the Most

QA Metrics That Matter the Most

Publish Date: December 28, 2021

"You can't improve what you don't measure" - this saying is rightfully true for the world of software quality assurance. Quality Assurance (QA) metrics are used to estimate the progress and outcome of test results. Through metrics, it is easy to track the status of QA activities, measure team efficiency, and optimize processes.

Understanding Software Quality Metrics with Manual and Automated Testing

Understanding Software Quality Metrics with Manual and Automated Testing

Publish Date: August 29, 2019

Quality is the true measure of product success. Poor user experience or application performance negates any advantages you achieve in delivery speed or production cost. Put simply, if it does not work, it is not worth producing. It is, therefore, critical to our product success that we can accurately measure and track test results to ensure our testing is delivering against our business goals. Understanding software quality metrics, especially in automated testing, helps us identify what is working well and what needs improvement.

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Authors

Our bloggers are the test management experts at QASource. They are executives, QA managers, team leads, and testing practitioners. Their combined experience exceeds 100 years and they know how to optimize QA efforts in a variety of industries, domains, tools, and technologies.