Beyond Unit Tests: How to Test and Evaluate LLM Applications

Description and use

<h1> Beyond Unit Tests: How to Test and Evaluate LLM Applications </h1> <p>Imagine deploying an AI-powered chatbot. Your API returns <code>200 OK</code>, all your unit tests pass, and the application responds within an acceptable time.</p> <p>But there is one problem: <strong>the answer is wrong.</strong></p> <p>The chatbot confidently provides an incorrect refund policy, invents a step that does not exist in the documentation, or answers a question that it does not have enough information to answer.</p> <p>From a traditional software testing perspective, everything looks fine. From the user's

Problem

<h1> Beyond Unit Tests: How to Test and Evaluate LLM Applications </h1> <p>Imagine deploying an AI-powered chatbot. Your API returns <code>200 OK</code>, all your unit tests pass, and the application responds within an acceptable time.</p> <p>But there is one problem: <strong>the answer is wrong.</strong></p> <p>The chatbot confidently provides an incorrect refund policy, invents a step that does not exist in the documentation, or answers a question that it does not have enough information to answer.</p> <p>From a traditional software testing perspective, everything looks fine. From the user's

Outcome

<h1> Beyond Unit Tests: How to Test and Evaluate LLM Applications </h1> <p>Imagine deploying an AI-powered chatbot. Your API returns <code>200 OK</code>, all your unit tests pass, and the application responds within an acceptable time.</p> <p>But there is one problem: <strong>the answer is wrong.</strong></p> <p>The chatbot confidently provides an incorrect refund policy, invents a step that does not exist in the documentation, or answers a question that it does not have enough information to answer.</p> <p>From a traditional software testing perspective, everything looks fine. From the user's

Evidence

Beyond Unit Tests: How to Test and Evaluate LLM Applications

Source