BrowserStack employs sophisticated AI engineering approaches beyond simple LLM integration. It has built a hybrid architecture that integrates generative AI with traditional ML models and rule-based systems, creating multiple validation layers. Its solution incorporates testing domain knowledge and user feedback to continuously improve accuracy without retraining foundation models. These technical investments enables it to deliver reliable, contextually accurate results tailored to software testing workflows.
How does BrowserStack address AI “hallucinations” or incorrect information?
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