LLM-oriented Automation Testing --- Upends Testing Practices
In the application of LLMs(Large Language Models), GienTech primarily explores three key fields:
1) Code development---leverages LLMs to automatically generate code and test cases, thereby enhances development efficiency;
2) Enterprise document search---integrates large models, knowledge graphs, and other technologies to help businesses strengthen their digital productivity;
3) Model operation management---addresses the challenges of managing and scheduling an increasing number of models.
With extensive experience in customized data training and intelligent application development, GienTech provides clients with private deployment, customized training, and intelligent application development services. This enables continuous improvements the efficiency and accuracy of content generation .
The evolution of testing has transitioned from manual to partially automated processes. The advent of LLMs has made intelligent testing a reality.
LLMs enable more efficient and comprehensive testing throughout the entire project development cycle. These assist in generating test cases, test scripts, and test data, as well as enabling self-healing capabilities within scripts. As the capabilities of LLMs continue to advance, they are poised to revolutionize software testing.
Advantages of LLM-oriented Automation Testing:
1. Enhanced testing efficiency and coverage---combining automation and intelligence;
2. Reduced costs---automatic generation of testing assets, minimizing labor and time costs;
3. Improved accuracy in element identification---accurate recognition of interface elements based on interactive models;
4. Rapid adaptability---efficiently and cost-effectively respond to evolving demands;
5. Self-healing script---cost-effective automatic generation of scripts that adapt to changes seamlessly.