AI in Testing involves using artificial intelligence and LLMs to enhance the software testing process. AI-powered tools can automatically generate test cases, identify redundant tests, and predict high-risk areas of an application that require more thorough testing. They can also perform visual regression testing by identifying UI anomalies that traditional tools might miss. LLMs can help in creating self-healing test scripts that adapt to changes in the application, reducing maintenance overhead. This approach improves test coverage, accelerates release cycles, and increases the overall quality of the software.