AI BriefingTest Run Comparison Feature
Key point
LangChain unveiled a new LangSmith feature that lets you compare multiple test run results side by side for evaluating LLM applications.
Details
When building LLM applications, quantitatively evaluating the effect of changes to prompts or chains is very difficult. Many developers use LLM-based evaluation, but at the same time also review the data directly in order to have complete trust in the results.
LangChain has launched the Test Run Comparisons feature in LangSmith to address this need. Previously, each test ran independently, making comparison difficult, but now you can place multiple test run results side by side for comparison.
Key features include:
- Side-by-side view: For the same input values, you can compare each test run's input, reference output, actual output, evaluation metrics, latency, and more at a glance.
- Detailed data drill-down: You can click a specific data point to view detailed information, or use the arrow buttons to quickly switch between run results while reviewing.
- Excel-style filtering: You can apply filters to each column to pick out only the data that meets your desired conditions.
In particular, by filtering one test run to show only correct data and another run to show only incorrect data for comparison, you can quickly identify the decisive differences between the two runs, which greatly helps in improving the application.
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