ChatGPT as a tester: a review of features and limitations
The talk examines the capabilities and limitations of the ChatGPT natural language text generation model in the context of its application as a test automation tool.
The author highlights the model's limitations in determining context and testing specificity, which can lead to incorrect or inaccurate results. Additionally, the model's limitations in working with various types of data, such as images or videos, are discussed.
In light of these limitations and issues, the author proposes a list of recommendations and best practices for effectively using the ChatGPT model as a tester, taking into account its capabilities and limitations.
In conclusion, the author emphasizes that the ChatGPT model can be a useful tool in testing automation, but it is necessary to carefully evaluate its capabilities and limitations in the context of specific tasks and usage conditions.