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Unlike traditional methods, which struggle with the unpredictability of AI interactions, LambdaTest’s platform uses a multi-agent system powered by large language models to simulate real-world scenarios. Teams can upload documents in multiple formats, and the system generates context-aware tests, delivering results through LambdaTest’s HyperExecute cloud with execution speeds up to 70% faster than standard grids.
The platform also highlights key quality metrics, such as bias, hallucinations, and completeness, providing teams with deeper insights into AI performance. With 15 specialized AI testing agents, Agent-to-Agent Testing promises faster cycles, broader coverage, and reduced reliance on manual QA.
Image Credit: LambdaTest
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