3.4.1 A QA lead is tasked with ensuring that their GenAI testing pipeline follows best practices for data quality, transparency, and fault tolerance. Which standard directly addresses these needs?
3.4.1 A QA lead is tasked with ensuring that their GenAI testing pipeline follows best practices for data quality, transparency, and fault tolerance. Which standard directly addresses these needs?
4.2.1 During fine-tuning of an LLM for test generation, the training dataset contains inconsistencies: some user stories are incomplete, and some test cases do not match the described functionality. After fine-tuning, the model frequently generates irrelevant or biased test cases. Which fine-tuning challenge does this illustrate?
1.1.2 A performance test uses an SLM to provide quick insights on defect clustering. The model’s outputs are fast but miss subtle context in multi-sentence defect reports. The team wants minimal increase in processing time while improving comprehension. Which change is most suitable?
1.2.2 A tester is new to the team and needs quick clarifications on exploratory test approaches for a mobile banking app. They want answers immediately, without setting up any additional tools. What is the most efficient approach?